Abstract: An information processing apparatus comprising a situation acquiring unit configured to acquire a situation of one movable object, and a storing execution unit configured to store a face image of an occupant on the one movable object, captured by an image-capturing unit mounted on the one movable object when the one movable object is in a predetermined situation, as a face image of the occupant with neutral facial expression is provided.

Abstract: Embodiments of this disclosure provide an action recognition method and apparatus and an electronic equipment. The action recognition apparatus includes: a key-point feature extracting unit configured to process information on key points in a target human body in an image frame, to calculate key-point features of the target human body, the key-point features including a position of a predetermined key point and an angle of a predetermined joint in the target human body; and a first recognizing unit configured to recognize an action of the target human body according to the key-point features, and output a first recognition result.

Abstract: A wide-angle endoscope lens is configured to capture a large viewing angle area of a non-planar object to generate an image, wherein the wide-angle endoscope lens has a center region and a corner region. The center region has a corresponding central object distance range.

Abstract: The systems and methods disclosed herein provide determination of an orientation of a feature towards a reference target. As a non-limiting example, a system consistent with the present disclosure may include a processor, a memory, and a single camera affixed to the ceiling of a room occupied by a person. The system may analyze images from the camera to identify any objects in the room and their locations. Once the system has identified an object and its location, the system may prompt the person to look directly at the object. The camera may then record an image of the user looking at the object. The processor may analyze the image to determine the location of the user's head and, combined with the known location of the object and the known location of the camera, determine the direction that the user is facing. This direction may be treated as a reference value, or “ground truth.” The captured image may be associated with the direction, and the combination may be used as training input into an application.

Abstract: An obstacle recognition assistance device includes: an acquisition unit that acquires a first recognition result and sensing information, the first recognition result being a result based on a first recognition process performed using the sensing information acquired by an obstacle sensing device, the first recognition result indicating whether or not an obstacle is present, the first recognition result being determined to be incorrect; and a recording unit that verifies whether the first recognition result is incorrect based on the first recognition result and a second recognition result, the second recognition result being a result based on a second recognition process performed using the sensing information, the second recognition process indicating whether or not the obstacle is present.

Abstract: A gaming terminal includes an input device, an image sensor, and logic circuitry. The logic circuitry detects user input received at the input device and that is associated with a restricted action, receives, via the image sensor, image data that corresponds to the user input, applies at least one neural network model to the image data to classify pixels of the image data as representing human characteristics including at least one face and at least one pose model, compares, based at least partially on pixel coordinates of (i) the human characteristics within the received image data and (ii) a user input zone within the image data, each of the pose models to the user input zone and the faces, and permits, in response to one of the pose models matching (i) a face of the at least one face and (ii) the user input zone, the restricted action.

Abstract: A method includes: obtaining, from an image sensor mounted on a mobile automation apparatus, an image representing a plurality of items on a support structure in a facility; responsive to detection of the items in the image, for each item: obtaining an item region defining an area of the image containing the item; obtaining a performance metric corresponding to the item; encoding the performance metric as a visual attribute; and generating an item overlay using the visual attribute; and controlling a display to present the image, and each of the item overlays placed over the corresponding item regions.

Abstract: Systems, apparatuses, and methods are described for a privacy blocking device configured to prevent receipt, by a listening device, of video and/or audio data until a trigger occurs. A blocker may be configured to prevent receipt of video and/or audio data by one or more microphones and/or one or more cameras of a listening device. The blocker may use the one or more microphones, the one or more cameras, and/or one or more second microphones and/or one or more second cameras to monitor for a trigger. The blocker may process the data. Upon detecting the trigger, the blocker may transmit data to the listening device. For example, the blocker may transmit all or a part of a spoken phrase to the listening device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining data stored at a storage device using a first processor of an entity correlation system. The data includes information about multiple entities. The first processor generates data arrays using the obtained data. Each data array includes parameter values for multiple entities and is configured for processing at a respective computing cell of a second processor. The system provides the data arrays to the second processor. The second processor is configured to execute a correlation algorithm to concurrently process the data arrays at the respective computing cells. The second processor computes a correlation score based on calculations performed at the cells using the algorithm and the parameter values. The system determines relationships among entities of the data arrays based on the correlation score.

Abstract: [Problem] Provided are an information processing device, an information processing method, and a program which are capable of giving an instruction for control relating to a location in a space even in voice utterance that does not include the name of a specific location. [Solution] The information processing device includes a control unit that acquires voice utterance corresponding to a processing command of control relating to a location in a space, determines the location in the space in the processing command on the basis of a result of environment sensing processing of the space by a plurality of kinds of sensors in a case where the acquired voice utterance does not include a word that specifies the location in the space, and performs control of issuing a processing command of control relating to the location in the space on the basis of the determined location.

Abstract: A system for detecting drunken driver is presented. The system includes an alcohol detecting device, a photographing device, and a locking device. The alcohol detecting device can receive a blood alcohol content value of a driver of a vehicle detected by a sensor, and determine whether the blood alcohol content value exceeds a first predetermined value. The alcohol detecting device can send alcohol concentration exceeding information to the photographing device to record video and to the locking device to lock vehicle when the blood alcohol content value exceeds the first predetermined value.

Abstract: A system generates a mask for a circuit design while enforcing symmetry and consistency across random areas of the mask. The system builds a mask solutions database mapping circuit patterns to mask patterns. The system uses the mask solutions database to replace circuit patterns of the circuit design with mask patterns. The system identifies properties in circuit patterns of the circuit design and enforces the same property in the corresponding mask patterns. Examples of properties enforced include symmetry within circuit patterns and similarity across circuit patterns. The system combines mask patterns in different regions of the circuit and resolves conflicts that occur when there are multiple masks within a region.

Abstract: An image editing program can include a content-aware selection system. The content-aware selection system can enable a user to select an area of an image using a label or a tag that identifies object in the image, rather than having to make a selection area based on coordinates and/or pixel values. The program can receive a digital image and metadata that describes an object in the image. The program can further receive a label, and can determine from the metadata that the label is associated with the object. The program can then select a bounding box for the object, and identify in the bounding box, pixels that represent the object. The program can then output a selection area that surrounds the pixels.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.

Abstract: Electronic fingerprint readers are often used for security such as log-in authentication for the identification of a user for selective access to a computing system. As computing devices shrink in overall size and with downward pressure on device pricing, smaller and less expensive fingerprint readers are increasingly desired. While whole fingerprint readers have the greatest accuracy in user identification, the whole fingerprint is often not required for user identification. Often, only a portion of the user's fingerprint is required to adequately identify the user and thus a small segment fingerprint reader may be sufficient for user authentication. However, the smaller the sensing area of the small-segment fingerprint reader, the more likely that the fingerprint reader misidentifies the user or fails to collect sufficient information to identify the user. Systems and methods for improving identification accuracy of small-segment fingerprint readers are disclosed in detail herein.

Abstract: This application discloses an image retrieval method and apparatus, a system, a server, and a storage medium. The method includes: obtaining a first hash value of a to-be-retrieved reference image; splitting the first hash value into a preset quantity of first hash value segments, wherein a first hash value segment of the first hash value segments has a unique sequence position corresponding to a position of the first hash value segment in the first hash value; locating a target hash table according to the sequence position of the first hash value segment, wherein the target hash table is used for storing hash value segments that are at the sequence position of the first hash value segment in hash values of images; retrieving, from the hash value segments of the target hash table, a second hash value segment that is the same as the first hash value segment; and retrieving, from candidate images to which the second hash value segment belongs, a target image similar to the reference image.

Abstract: Data may be queried and analyzed in order to draw insights. One type of data query that may be performed is a funnel query. A funnel query is a query characterized by a sequence of events, e.g.: “In the last N days, how many unique users performed event A, then event B, and then event C”. Systems and methods for performing funnel queries are provided herein. In some embodiments, the speed at which a computer can answer a funnel query may be increased. In some embodiments, a bitmap is used to eliminate one or more sequences of events that would otherwise need to be traversed during the funnel query. In some embodiments, a sequence of events is stored across multiple data partitions, each data partition covering a different period of time.

Abstract: A touch detection circuit and a touch detection method are provided. The touch circuit coupled to touch areas of touch panel includes a touch controller and a detection circuit. The touch controller performs a touch detection on the touch areas sequentially. The detection circuit transmits a first detection signal to a boundary area of the touch areas which are not touch detected to receive a first feedback signal. The detection circuit transmits a second detection signal to a corresponding central area of the touch areas which are not touch detected to receive a second feedback signal. The touch controller compares the first feedback signal and the second feedback signal to generate a capacitance variation between the boundary area and the corresponding central area.

Abstract: Imaging systems can often gather higher quality information about a field of view than the unaided human eye. For example, telescopes may magnify very distant objects, microscopes may magnify very small objects, and high frame-rate cameras may capture fast motion. The present disclosure includes devices and methods that provide real-time vision enhancement without the delay of replaying from storage media. The disclosed devices and methods may include a live view user interface with two or more interactive features or effects that may be controllable in real-time. Specifically, the disclosed devices and methods may include a live view display and image and other information enhancements, which utilize in-line computation and constant control.

Abstract: The method is for dividing dark objects, sub-structures and background of an image from an electron microscope into segments by analyzing pixel values. The segments are transformed and aligned so that the transformed objects, sub-structures and background are meaningfully comparable. The transformed segments are clustered into classes which are used for ontological investigation of samples that are visualized by using electron microscopy. A triangle inequality comparison can be used to further cluster groups of objects to transfer understanding from different interactions between objects and to associate interactions with each other.

Abstract: A thermal image sensing system including at least one thermal sensor, at least one light sensor, an image identification module, a storage module and a computing module is provided. The thermal sensor senses thermal radiation emitted by an object and generates a thermal radiation image signal correspondingly. The light sensor senses visible light reflected by the object and generates at least one visible light image signal correspondingly. The image identification module receives the visible light image signal generated by the light sensor and determines a material of the object according to the at least one visible light image signal. The storage module stores a radiation coefficient of the material of the object. The computing module calculates a surface temperature of the object according to the radiation coefficient of the material of the object and the thermal radiation emitted by the object. A thermal image sensing method is also provided.

Abstract: A method of determining a pose of an image capture device includes capturing an image using an image capture device. The method also includes generating a data structure corresponding to the captured image. The method further includes comparing the data structure with a plurality of known data structures to identify a most similar known data structure. Moreover, the method includes reading metadata corresponding to the most similar known data structure to determine a pose of the image capture device.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in a search system supported by or configured with search servers or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of results data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a Deep Fast Search (DFS) that improves content search accuracy that executes independent of the search database, while achieving an increased content retrieval speed. The disclosed systems and methods employ two complementary deep feature searches: 1) a coarse deep feature search and a 2) fine deep feature search. Thus, the disclosed systems and methods employ a coarse-to-fine strategy that embodies the efficiency and cost effectiveness of the coarse deep feature search and the accuracy of the fine deep feature search.

Abstract: Systems, and method and computer readable media that store instructions for motion based object detection. The method may include receiving or generating a video stream that comprises a sequence of images; generating image signatures of the images; wherein each image is associated with an image signature that comprises identifiers; wherein each identifier identifiers a region of interest within the image; generating movement information indicative of movements of the regions of interest within consecutive images of the sequence of images; searching, based on the movement information, for a first group of regions of interest that follow a first movement; wherein different first regions of interest are associated with different parts of an object; and linking between first identifiers that identify the first group of regions of interest.

Abstract: According to an aspect of an embodiment of the disclosure, an electronic device includes: a photographing device; a memory storing one or more instructions; and at least one processor configured to execute the one or more instructions stored in the memory to capture a first image by using the photographing device, perform first adjustment on an exposure value based on the first image, when the first image does not satisfy a first condition, perform second adjustment on the exposure value based on a second image acquired by applying a mask having a high weight for a region of interest to the first image, when the second image does not satisfy a second condition, adjust at least one photographing setting value based on the adjusted exposure value, and capture, by using the photographing device, a third image based on the adjusted at least one photographing setting value.

Abstract: A computer system and computerized method that groups documents with similar image layout together. A document similarity metric based on locally connected subgraphs is employed. Region adjacency graphs are generated from word segments extracted from document images. Fuzzy attributed graph isomorphism is performed on subgraphs checking node and edge attribute similarity. Document similarity is then calculated on a normalized score between matching subgraphs of different documents. Unsupervised clustering of document layouts is performed to generate clusters of documents with similar structure.

Abstract: System and method for detecting the authenticity of products by detecting a unique chaotic signature. Photos of the products are taken at the plant and stored in a database/server. The server processes the images to detect for each authentic product a unique authentic signature which is the result of a manufacturing process, a process of nature etc. To detect whether the product is genuine or not at the store, the user/buyer may take a picture of the product and send it to the server (e.g. using an app installed on a portable device or the like). Upon receipt of the photo, the server may process the receive image in search for a pre-detected and/or pre-stored chaotic signature associated with an authentic product. The server may return a response to the user indicating the result of the search. A feedback mechanism may be included to guide the user to take a picture at a specific location of the product where the chaotic signature may exist.

Abstract: A mesh of existing infrastructures is usable to identify user identities and communications devices with physical objects (e.g., transportation vehicles, apparel, etc.). A system can receive image data representative of images of physical objects captured (e.g., by a camera) at locations. The system can also receive signal data representative of signals from communications devices. Based on time data and location data associated with the image data and the signal data, the system can, after multiple iterations, determine whether one of the physical objects is correlated with one of the communications devices. In response to a correlation, the system can store in a record data (e.g., a container, database, etc.) data elements representative of the physical object and a second data element associated with the communications device.

Abstract: A method, a device and a flash memory for storing, retrieving and deleting embedded audio video data are disclosed. The flash memory includes several partitions, where each partition includes: a main node partition to store metadata information of the partition; an inode partition, including at least one inode queue including several inodes corresponding to a same audio video track, where each inode is used to store timestamp information and storage location information of one frame of audio video data in the corresponding audio video track; and each inode in an inode queue is arranged according to a storage time sequence of the corresponding frame of audio video data; and a main storage partition, including several data blocks to store the audio video data, where at least one data block corresponds to a same inode.

Abstract: [Problem] More effective information is gathered efficiently for the correction of device behavior. [Solution] Provided is an information processing device that includes an output control unit that controls, on the basis of a gathered operation history of a device, an output of a reproduced scene pertaining to a behavior which the device has executed on the basis of context information; and a communication unit that receives feedback input by a judge regarding the reproduced scene thus output. Further provided is an information processing device that comprises a communication unit that receives information on a reproduced scene pertaining to a behavior which the device has executed on the basis of context information; and a playback unit that plays back the reproduced scene, wherein the communication unit transmits feedback input by a judge regarding the reproduced scene.

Abstract: A method for determining an encoding used for a sequence of bytes may be provided. The method comprises providing a set of candidate code pages and transforming them into different groups of sequences of bytes, wherein each group of sequences of bytes corresponds to one of the candidate code pages. Thereby each code point is transformed by applying a transformation from one of the candidate code pages to a reference code point value relating to a reference encoding for each code point. The method comprises further separating each of the transformed sequences of bytes into groups of tokens, wherein each group of tokens relates to one candidate code page, and providing an index relating to a text corpus. Furthermore, the method comprises selecting a code page from the set of candidate code pages at least partially based on how many tokens are found in the index.

Abstract: Various embodiments provide techniques for generating a virtual wardrobe in which wearing of items can be tracked through computer vision. In various embodiments, computer vision techniques can be used to identify individual clothing items from an image or video of a closet containing a collection of clothes, in which some of the items may be partially obscured, such as positioned behind other items, folded, at an odd viewing angle, shadowed, or the like. Through the present techniques, the clothing items may be automatically cataloged, and utilization of individual items can be tracked automatically based on additional image data of instances in which an item is worn. Various recommendations can then be made based on the attributes of the items in the virtual wardrobe or utilization of the items.

Abstract: The disclosure relates to systems, methods and processor-readable storage mediums, having processor-executable instructions stored thereon, for determining the position of a real-world object in an augmented reality application running on a computing device having a camera. The method includes capturing image information using the camera. Detection of real-world objects is then performed using a computer vision model, and filtering of a received point cloud is performed by way of a virtual frustum constructed using the captured image information. Finally, the position of the object is determined using the filtered points.

Abstract: Disclosed is a device and process for marking and detecting labels with spectral band authentication features utilizing a reader that can be affixed to a smart phone and positioned so as to align the lens of the phone's camera with a reader aperture. The reader aperture allows the camera to view an item through a spacer, wherein a UV and IR light source is used to reveal indicia within invisible ink. The light source employs a distinct emission spectrum characterized by narrow peaks and gaps which can illuminate pigment of the invisible ink that is selectively responsive at the wavelengths of specific peaks and/or unresponsive at the gaps in the spectrum. The smart phone captures the indicia revealed and interfaces with a cloud-based database to provide verification of authenticity.

Abstract: There is provided an information processing apparatus, an information processing method, and a recording medium which are able to calculate a current price of a product more objectively and accurately, the information processing apparatus including a current price calculation unit calculating a current price of a target product, in which the current price calculation unit dynamically calculates the current price of the target product on the basis of an assessment rank of the target product determined, and supply/demand information regarding a transaction of a product that belongs to an assessment rank that is same as the assessment rank of the target product and has a product type that is same as a product type of the target product.

Abstract: An identifier of query content is accurately determined. A content determining device 100 includes an input unit 2 that inputs query content, a storage unit 1 that stores a plurality of pieces of master content, and a content determining unit 4 that determines a region where feature values of two pieces of master content out of the plurality of pieces of master content do not match each other, calculates a matching feature count which is a count of feature values of the region that match feature values in a corresponding region of the query content, for each of the two pieces of master content, and determines an identifier of the query content on the basis of the matching feature count of each of the pieces of master content.

Abstract: The present disclosure provides a method for generating a verification template. The verification template includes an infrared template and a depth template. The method includes: obtaining an infrared image of a target object and storing the infrared image into a trusted execution environment as the infrared template; controlling a laser projector to project laser light to the target object; obtaining a laser pattern modulated by the target object; and processing the laser pattern to obtain a depth image and storing the depth image into the trusted execution environment as the depth template.

Abstract: Techniques for generating three-dimensional content from the recordings of multiple independently operated cameras that are not constrained to fixed positions and orientations are disclosed. In some embodiments, data from a plurality of cameras configured to capture a scene is received; a relative pose of each camera with respect to the scene is determined based at least in part on a first estimate and a second estimate, wherein the first estimate is based on image data and the second estimate is based on sensor data; relative poses of cameras with respect to one or more other cameras are determined based on determined relative poses of individual cameras with respect to the scene; and a three-dimensional reconstruction of at least a portion of the scene is generated based on the received data and determined relative poses.

Abstract: An electronic device with reduced power consumption is provided. The electronic device has a function of transmitting data. First data and second data are supplied to the electronic device. The electronic device has a function of generating a first hash value from the first data, and transmitting the first data. The electronic device has a function of generating a second hash value from the second data, comparing the first hash value with the second hash value, transmitting the second data when the first hash value is different from the second hash value, and not transmitting the second data when the first hash value is the same as the second hash value.

Abstract: Technologies for generating 3D and using models are described. In some embodiments the technologies employ a content creation device to produce a 3D model of an environment based at least in part on depth data and color data, which may be provided by one or more cameras. Contextual information such as location information, orientation information, etc., may also be collected or otherwise determined, and associated with points of the 3D model. Access points to the imaged environments may be identified and labeled as anchor points within the 3D model. Multiple 3D models may then be combined into an aggregate model, wherein anchor points of constituent 3D models in the aggregate model are substantially aligned. Devices, systems, and computer readable media utilizing such technologies are also described.

Abstract: Computerized detection of one or more user interface objects is performed by processing an image file containing one or more user interface objects of a user interface generated by an application program. Sub-control objects are detected in the image file, where each sub-control object forms a portion of a user interface object that receives user input. Extraneous sub-control objects are detected. Sub-control objects that overlap with or that are within a predetermined vicinity of an identified set of sub-control objects are removed. Sub-control objects in the identified set of sub-control objects are correlated to combine one or more of the sub-control objects in the identified set of sub-control objects to generate control objects that correspond to certain of the user interface objects of the user interface generated by the application program.

Abstract: An electronic device and method for image mask generation using a deep neural network is provided. The electronic device stores an input image that includes an object of interest generates a pilot mask for the input image by application of a trained deep neural network (DNN) on the input image. The electronic device extracts, from the input image, a region of interest that includes the object of interest, based on the generated pilot mask and resizes the extracted region of interest such that a size of the resized region of interest equals a threshold scaling size. The electronic device further generates a final mask by reapplication of the trained DNN on the resized region of interest.

Abstract: The present disclosure provides a method for obtaining image tracking points. The method can be applied to an image tracking point obtaining device, the method includes obtaining, when a current video frame comprises a first image of a target object, a second image of the target object and determining a position of a second feature point on the second image; obtaining, on the first image, a first feature point corresponding to the second feature point; obtaining a first area to which the first feature point belongs in the first image, and obtaining a second area to which the second feature point belongs in the second image; and determining the first feature point as a tracking point of the current video frame when an image similarity between the first area and the second area meets a screening condition.

Abstract: A solution is proposed for ranking a plurality of documents in a computing system, each of the documents comprising a plurality of document terms. A corresponding method comprises receiving a query comprising one or more query terms for selecting the documents, calculating corresponding similarity indexes between the query and the documents, each of the similarity indexes being calculated according to a comparison between the query terms and the document terms of the corresponding document, determining corresponding semantic richness indicators of the documents, adjusting the similarity indexes according to the corresponding semantic richness indicators, and ranking at least part of the documents for selection thereof according to the corresponding similarity indexes being adjusted.

Abstract: A method for splitting text line images includes receiving a text line image and identifying that the text line image comprises a plurality of zones, wherein each zone includes text whose font differs from the text of adjacent zones. The method further includes selecting a splitting position between multiple zones and splitting the text line image at the splitting position into a plurality of image segments, wherein each image segment contains at least one zone of the text line image and performing optical character recognition on each image segment to recognize a text segment of the image segment. In certain implementations, the method further includes generating one or more confidence measurements and selecting a splitting position that corresponds to a large gradient in the confidence measurement.

Abstract: A method for the non-destructive examination of aeronautical parts utilizing a system for acquiring x-ray images of the aeronautical parts, the method including verifying the system for acquiring x-ray images of the aeronautical parts, the verification including the steps of: acquiring an x-ray image of a known reference part including predefined structures, recognizing the predefined structures of the known reference part in the acquired x-ray image, measuring image quality on the basis of the result of the recognition step, wherein the recognition of the predefined structures of the known reference part in the acquired x-ray image includes the steps of: using information extracted from the acquired image in order to produce first structure information, and combining the first structure information with information representing a priori knowledge of the structures, by modelling using a Markov chain, in order to produce second structure information.

Abstract: During the rendering of an image, specific pixels in the image are identified where antialiasing would be helpful. Antialiasing is then performed on these identified pixels, where anti-aliasing is a technique used to add greater realism to a digital image by smoothing jagged edges. This reduces a cost of performing antialiasing by reducing a number of pixels within an image on which antialiasing is performed.

Abstract: This application discloses a method and an apparatus for determining a posture of a target object in an image, a device, and a non-transitory storage medium. In the method, a training model parameter of a convolutional neural network of the target object is obtained from a server. A real-time image of the target object is obtained. At least one first image block from the real-time image is identified. The at least one first image block is a local image of the real-time image. According to the training model parameter, a label image block matching the at least one first image block is determined. The label image block is a local image of a standard image of the target object. Furthermore, the posture of the target object is determined, by processing circuitry of a terminal device, according to the at least one first image block and the determined label image block.

Abstract: A search assist system performs search for a subject of search from the images picked up by the on-board cameras. The search assist system includes: a first storage configured to store characteristic information on subjects of identification detected from the images picked up by fixed cameras and information on the fixed cameras; a second storage configured to store location information on vehicles; and one or more first controllers configured to receive characteristic information on the subject of search; determine a search target area based on an installation location of a fixed camera picking up the characteristic information matching the characteristic information on the subject of search; and send, to vehicles within the search target area, search instructions to search for the subject of search by the on-board cameras; and a second controller configured to output an image including the detected characteristic information on the subject of search.

Abstract: A method for manipulating a target image includes generating a query of the target image and keys and values of a first reference image. The method also includes generating matching costs by comparing the query of the target image with each key of the reference image and generating a set of weights from the matching costs. Further, the method includes generating a set of weighted values by applying each weight of the set of weights to a corresponding value of the values of the reference image and generating a weighted patch by adding each weighted value of the set of weighted values together. Additionally, the method includes generating a combined weighted patch by combining the weighted patch with additional weighted patches associated with additional queries of the target image and generating a manipulated image by applying the combined weighted patch to an image processing algorithm.