Abstract: A surveillance system includes at least one image or video capture device and a controller configured to determine a change in location for the at least one image or video capture device from a first location to a second location. First image or video data is received from the at least one image or video capture device at the second location, and in response to the location change, a preconfigured neural network is obtained or weights for a neural network are obtained based at least in part on the received first image or video data. Second image or video data is received from the at least one image or video capture device at the second location and an inference operation is performed on the second image or video data by processing the second image or video data using the obtained weights or the obtained preconfigured neural network.

Abstract: One broad aspect of the invention features a display case door. The display case door includes a transparent panel assembly, hinges, a camera, and a sensor. The hinges are coupled at a first peripheral edge of the transparent panel assembly. The camera is coupled to the transparent panel proximate to a second peripheral edge of the transparent panel assembly opposite the first peripheral edge. The camera is arranged to capture images of the interior of a display case with the display case door mounted to the display case. The sensor is coupled to the transparent panel assembly, and is in electronic communication with the camera. The sensor is configured to generate a signal that indicates that the display case door is in an open position. The camera is configured to capture an image of the interior of the display case based on the signal generated by the sensor.

Abstract: Methods and apparatus for the analysis of moving objects. In one embodiment, a pitch tracking system is disclosed that includes one or more cameras that have been positioned in a desired location and a computing system containing executable software that is configured to receive imaging data from the one or more cameras that captured the desired location and analyze seam placement and/or finger placement as a function of time for the received imaging data. Computer readable media and methodologies are also disclosed herein.

Abstract: An animal information management system includes an identification information obtaining unit which obtains identification information of an animal included in a first image, based on the first image captured by an imaging device during patrol imaging of a predetermined region in a first zoom setting in which only part of the predetermined region is an imaging target, the animal being included in animals present in the predetermined region; and a control unit which causes the imaging device to capture a second image including the animal in a second zoom setting having a zooming magnification lower than that of the first zoom setting when the identification information is obtained.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) receives assistance data for enabling the UE to estimate a location of the UE, the assistance data including a relative location of each of a plurality of transmission points, wherein the relative location is represented as a hierarchy of two or more levels of description, wherein a highest level of description is relative to a fixed reference point, receives, from each of at least a subset of the plurality of transmission points, at least one positioning reference signal, and estimates the location of the UE based on characteristics of reception of the at least one positioning reference signal from each of the subset of the plurality of transmission points and the two or more levels of description and the fixed reference point for each of the subset of the plurality of transmission points.

Abstract: A method of producing an image frame from event packets received from an event camera comprises: forming a tile buffer sized to accumulate event information for a subset of image tiles, the tile buffer having an associated tile table that determines a mapping between each tile of the image frame for which event information is accumulated in the tile buffer and the image frame. For each event packet: an image tile corresponding to the pixel location of the event packet is identified; responsive to the tile buffer storing information for one other event corresponding to the image tile, event information is added to the tile buffer; and responsive to the tile buffer not storing information for another event corresponding to the image tile and responsive to the tile buffer being capable of accumulating event information for at least one more tile, the image tile is added to the tile buffer.

Abstract: A method of registering distributed devices includes discovering a plurality of devices at a central panel or server, localizing the devices, and authorizing the devices with a mobile device communicating with the central panel or server. The method also includes registering the devices with the central panel. The model can include verifying link quality with each of the devices before registering the devices with the central panel by comparing signal quality between each device and a central panel with a pre-defined threshold level.

Abstract: A motion detection method utilized for a motion sensor includes: capturing a monitoring image; entering a recording mode when one intensity change value between the monitoring image and a pre-stored background image is higher than a first threshold and a trigger signal is received from an auxiliary sensor; and entering the recording mode when the intensity change value is higher than a second threshold before the trigger signal is received; wherein the second threshold is higher than the first threshold.

Abstract: A situation communication display enhances driver situational awareness in a transportation vehicle. The situation communication display includes a display member with a plurality of display surface areas. A first surface area displays a relatively focused driver field of view. Second and third surface areas each display wider driver fields of view. First, second, and third transition zones are located adjacent respective first, second, and third surface areas. The transition zones divide the first, second, and third surface areas and define a visual transition between the relatively focused driver field of view displayed by the first surface area and the wider driver fields of view displayed by the second and third surface areas.

Abstract: Gesture functionality is provided in a computing environment. In example embodiments, a gesture input is received. A style difference is identified between a known gesture input of a set of known gesture inputs and the received gesture input. The set of known gesture inputs is caused to be modified to include the style difference by updating a database that stores the set of known gesture inputs.

Abstract: An information processing apparatus includes an acquisition section that acquires at least two first evaluation values obtained by evaluating a motion of a worker in time series and a reference evaluation value obtained by evaluating a motion of an expert as an exemplar of the worker, a calculation section that calculates at least two motion levels indicating similarity between the at least two first evaluation values and the reference evaluation value, and an output section that outputs a development degree indicating a degree of development of the worker based on the at least two motion levels.

Abstract: A video display method includes: selecting, as a first selected viewpoint, one first viewpoint from among a plurality of first viewpoints corresponding to a plurality of second videos, and displaying a second video corresponding to the first selected viewpoint; determining whether the first selected viewpoint is included in a plurality of second viewpoints corresponding to a plurality of fourth videos captured after the plurality of second videos; and selecting one second viewpoint from among the plurality of second viewpoints as a second selected viewpoint and displaying a fourth video that is included in the plurality of fourth videos and corresponds to the second selected viewpoint, when the first selected viewpoint is determined to not be included in the plurality of second viewpoints.

Abstract: A processing device receive a two dimensional (2D) video recording of a subject user performing a physical activity and provides a three dimensional (3D) visualization comprising a virtual avatar performing the physical activity. The processing device causes display of the 3D visualization comprising the virtual avatar at a first key point in performing the physical activity, receives first user input to advance the 2D video recording to a first position corresponding the first key point, and receives second user input comprising a first synchronization command. In response, the processing device generates a first synchronization marker to indicate the first position in the 2D video recording corresponding to the first key point.

Abstract: A method includes receiving video data from an A/V recording and communication device (A/V device) having a camera, the video data representing an object in a field of view (FOV) of the camera. The method further includes receiving, from the A/V device, identifying information for a wireless device proximate the object in the FOV of the camera (the FOV identifying information). The method further includes, after receiving the FOV identifying information, storing the video data and the FOV identifying information in a memory. The method further includes receiving identifying information for one or more wireless devices associated with activity of interest (the identifying information of interest). The method further includes determining that the FOV identifying information matches the identifying information of interest.

Abstract: An electronic device, a method, and computer readable medium for operating an electronic device are disclosed. The method includes receiving data about a state of the electronic device from one or more sensors of the electronic device. The method also includes determining whether to modify a user interface button displayed on a display of the electronic device based on the received state data and parameters of a neural network. The method further includes modifying display of the user interface button on the display of the electronic device based on determining to modify. The method additionally includes providing, to the neural network, feedback data indicating whether the user interface button was triggered within a predetermined time period after modifying the user interface button.

Abstract: Described is a system for implicitly predicting movement of an object. In an aspect, the system includes one or more processors and a memory, the memory being a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions, the one or more processors perform operations of providing an image of a first trajectory to a predictive autoencoder, and using the predictive autoencoder, generating a predicted tactical response that comprises a second trajectory based on images of previous tactical responses that were used to train the predictive autoencoder, and controlling a device based on the predicted tactical response.

Abstract: A computing system automatically detects, in a sequence of video frames, a video frame region that depicts a scoreboard. The video frames of the sequence depict image elements including (i) scoreboard image elements that are unchanging across the video frames of the sequence and (ii) other image elements that change across the video frames of the sequence. Given this, the computing system (a) receives the sequence, (b) engages in an edge-detection process to detect, in the video frames of the sequence, a set of edges of the depicted image elements, (c) identifies a subset of the detected set of edges based on each edge of the subset being unchanging across the video frames of the sequence, and (d) detects, based on the edges of the identified subset, the video frame region that depicts the scoreboard.

Abstract: Some embodiments provide a method for initiating a video conference using a first mobile device. The method presents, during an audio call through a wireless communication network with a second device, a selectable user-interface (UI) item on the first mobile device for switching from the audio call to the video conference. The method receives a selection of the selectable UI item. The method initiates the video conference without terminating the audio call. The method terminates the audio call before allowing the first and second devices to present audio and video data exchanged through the video conference.

Abstract: A location based Quality Assurance System and a method to collect data in work spaces in terms of locations, environment conditions, time, workers and behaviours, thru the wireless interactions (M2M) of located and installed sensors on sites and PPE with detachable or built-in sensors, which data wirelessly transmitted to remote servers for big data analysis in order to enhance effective communication and management of safety, work flow, work forces, worker attendance and project in work spaces.

Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.

Abstract: An event classification is trained by machine learning. An anomaly detection for detecting events in an image data set is thereby performed. Based on the performance of the anomaly detection, a model assumption of the event classification is determined. An image data set may include a plurality of images, and each image may include an array of pixels. Further, an image data set may include volume data and/or a time sequence of images and in this way represent a video sequence.

Abstract: An image processing apparatus is applied to a display and includes a sampling unit, a comparing unit, a determining unit and an operating unit. The sampling unit is configured to receive a pulse-width modulation (PWM) signal and sample the PWM signal to output a current image. The comparing unit is coupled to the sampling unit and configured to compare the current image with a previous image to generate a comparison result, wherein the previous image is prior to the current image. The determining unit is coupled to the comparing unit and configured to determine whether the current image is the same with the previous image according to the comparison result and a threshold value. If a determination result of the determining unit is YES, the operating unit stops its operation.

Abstract: A method of segmenting an image of a scene captured using one of a plurality of cameras in a network. A mask of an image of a scene captured by a first one of said cameras is received. A set of pixels in the mask likely to be in a foreground of an image captured by a second one of said cameras is determined based on the received mask, calibration information, and a geometry of the scene. A set of background pixels for the second camera is generated based on the determined set of pixels. The generated set of background pixels is transmitted to the second camera. The image of the scene captured by the second camera is segmented using the transmitted background pixels.

Abstract: A camera calibration device includes: a storage unit configured to store an allowable range of a camera position posture including at least one of a position and an angle of an in-vehicle camera in association with a reference riding pattern that is a reference of an occupant's riding pattern with respect to a vehicle; an acquisition unit configured to acquire the riding pattern and the camera position posture at a preset timing; and a control unit configured to execute at least one of notification of optical axis deviation of the in-vehicle camera and correction of the optical axis deviation when the acquired camera position posture is not within the allowable range associated with the reference riding pattern that matches the acquired riding pattern in the storage unit.

Abstract: A motion detection method utilized for a motion sensor includes: capturing a monitoring image; entering a recording mode when one intensity change value between the monitoring image and a pre-stored background image is higher than a first threshold and a trigger signal is received from an auxiliary sensor; and entering the recording mode when the intensity change value is higher than a second threshold before the trigger signal is received; wherein the second threshold is higher than the first threshold.

Abstract: Various client devices include displays and one or more image capture devices configured to capture video data. Different users of an online system may authorize client devices to exchange information captured by their respective image capture devices. Additionally, a client device modifies captured video data based on users identified in the video data. For example, the client device changes parameters of the image capture device to more prominently display a user identified in the video data and may further change parameters of the image capture device based on gestures or movement of the user identified in the video data. The client device may apply multiple models to captured video data to modify the captured video data or subsequent capturing of video data by the image capture device.

Abstract: Methods, devices, and systems for providing a standard operating procedure associated with a monitoring system of facility are described herein. One method includes determining a plurality of parameters associated with a facility having a monitoring system, accessing a library of SOP templates to determine a particular SOP template having a correlation with the plurality of parameters, allowing a user to create an SOP by customizing the particular SOP template, and associating the created SOP with the plurality of parameters.

Abstract: A camera configuration method includes determining, in a preset view region, a preset number of camera configuration modes and visible cameras of each test point, according to a total number of cameras, calculating one or more cost values of each camera configuration mode, according to one or more factors that affect a capture effect, and calculating a configuration cost value of each camera configuration mode, according to the one or more cost values of each camera configuration mode, to determine a final camera configuration mode.

Abstract: Systems and methods are described herein that provide a three-tier intelligent video surveillance management system. An example of a system described herein includes a gateway configured to obtain video content and metadata relating to the video content from a plurality of network devices, a metadata processing module communicatively coupled to the gateway and configured to filter the metadata according to one or more criteria to obtain a filtered set of metadata, a video processing module communicatively coupled to the gateway and the metadata processing module and configured to isolate video portions, of video the content, associated with respective first portions of the filtered set of metadata, and a cloud services interface communicatively coupled to the gateway, the metadata processing module and the video processing module and configured to provide at least some of the filtered set of metadata or the isolated video portions to a cloud computing service.

Abstract: Systems and methods for providing access to vehicle videos are provided. An example system may include a plurality of cameras and an electronic device associated with a vehicle. The electronic device can continuously record a plurality of videos captured by the plurality of cameras, periodically generate, based on the plurality of videos, snapshot images including image metadata, and upload the snapshot images to a remote computing system. The remote computing system can render the snapshot images for view and selection by a user and receive, from the user, a selection of a snapshot image of the snapshot images. In response to the user selection, the remote computing system can select, based on the image metadata associated with the selected snapshot image, a video from the plurality of videos and play back a portion of the video stored on the electronic device.

Abstract: A video analysis system includes: a video data acquiring means that acquires video data; a moving object detecting means that detects a moving object from video data acquired by the video data acquiring means, by using a moving object detection parameter, which is a parameter for detecting a moving object; an environment information collecting means that collects environment information representing an external environment of a place where the video data acquiring means is installed; and a parameter changing means that changes the moving object detection parameter used when the moving object detecting means detects a moving object, on the basis of the environment information collected by the environment information collecting means.

Abstract: A camera system comprises an image capturing device, and connected to it are an object classification module and a calibration module. The object classification module is operable to determine whether or not an object in an image is a member of an object class, and the calibration module is operable to estimate representative sizes of the object. The object classification module may determine a confidence parameter that is used by the calibration module, or conversely, the calibration module may produce a size that is used by the classification module.

Abstract: The present disclosure is related in general to field of machine learning and image processing and a method and system for handling occluded regions in an image frame to generate surround view. A surround view generating device detects presence or absence of occluded blocks in each image frame received from image capturing devices associated with the vehicle, based on speed and direction of the vehicle. Further, occluded blocks are predicted by mapping the image frames and sensor data of the vehicle with pre-stored image data using a machine learning model. Finally, corrected image frames are generated by stitching the predicted occluded blocks to the image frames, and then a surround view of the vehicle is generated using corrected image frames and the plurality of image frames. The present disclosure enables prediction of occlusions caused due to dust or water depositions on the image capturing devices of non-overlapping field of view.

Abstract: Embodiments relate to systems, devices, and computer-implemented methods for performing automated visual surveillance by obtaining video camera coordinates determined using video data, video camera metadata, and/or digital elevation models, obtaining a surveillance rule associated with rule coordinates, identifying a video camera that is associated with video camera coordinates that include at least part of the rule coordinates, and transmitting the surveillance rule to a computing device associated with the video camera. The rule coordinates can be automatically determined based on received coordinates of an object. Additionally, the surveillance rule can be generated based on instructions from a user in a natural language syntax.

Abstract: An image processing system may include a first image sensor, a second image sensor, and an image processing device. The image processing device may be configured to obtain a first image and a second image by respectively processing the first image data and the second image data. The image processing device may output an image based on the first image when a zoom factor of the output image is lower than a first reference value, generate a correction image by correcting locations of second reference coordinates of the second image based on first reference coordinates of the first image when the zoom factor of the output image is between the first reference value and the second reference value, and may output an image based on the second image when the zoom factor exceeds the second reference value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a first image of a document, the first image including first glare shown on a first portion of the document. Detecting, in the first image, the first glare shown on the first portion of the document. In response to detecting the first glare in the first image, obtaining a second image of the document, the second image including second glare shown on a second portion of the document. Generating, from the first image and the second image, a third image of the document that includes less glare than the first glare in the first image and less glare than the second glare in the second image.

Abstract: Techniques related to video coding with a multi-pass prediction mode decision pipeline.

Abstract: Systems and methods are provided for alleviating bandwidth limitations of video transmission and enhancing the quality of videos at a receiver. In particular, an improved video transmission system is provided for generating high-resolution videos. The systems have therein a transmitter and a receiver; the transmitter includes an outer encoder and a core encoder, while the receiver includes a core decoder and an outer decoder. The outer encoder is adapted to receive the video from a source and separately output a salient video and an encoded background, and the outer decoder is adapted to merge the background with the salient video thereby producing an enhanced video. Also provided is a system that simulates pan-tilt-zoom (PTZ) operations without PTZ hardware. Further provided are methods for video transmission whereby a background model is initialized, a background independently encoded, updated incrementally, and the background and the updates transmitted independently from the video.

Abstract: A vehicle haptic feedback system includes a haptic actuator, a detection device, and a controller. The haptic actuator is configured to provide haptic feedback to a vehicle driver. The detection device is disposed in an interior of the vehicle and is configured to capture movements of the vehicle driver and output data representing the movements. The controller is coupled to the detection device and is configured to receive a signal from the detection device indicative of the movements. The controller is also coupled to a haptic effect feedback system. Based on the signal, the controller is configured to send a signal to select a haptic effect from an effect table and is configured to send a signal to the haptic actuator to provide the selected haptic effect. The haptic actuator is coupled to a driver's seat, a steering wheel, a driver's seat belt, and/or an object wearable by the driver.

Abstract: A video monitor layout method and device are provided in the present disclosure. The method includes: determining a plurality of sample points on a map and determining a spatial range to be analyzed based on distribution regions of the plurality of sample points; obtaining grid units of the spatial range by rasterizing the spatial range to be analyzed; assigning a weight to each of the sample points, wherein the weight represents a level of monitor requirement at the sample point; and acquiring a weight value of each of the grid units according to the weight value of each of the sample points and a positional relationship between each of the sample points and each of the grid units and generating camera distribution position data of the spatial range based on the weight value of each of the grid units.

Abstract: A camera system comprises an image capturing device, and connected to it are an object classification module and a calibration module. The object classification module is operable to determine whether or not an object in an image is a member of an object class, and the calibration module is operable to estimate representative sizes of the object. The object classification module may determine a confidence parameter that is used by the calibration module, or conversely, the calibration module may produce a size that is used by the classification module.

Abstract: Mechanisms, in a system comprising a host system and at least one accelerator device, for performing a concept analysis operation are provided. The host system extracts a set of one or more concepts from an information source and provides the set of one or more concepts to the accelerator device. The host system also provides at least one matrix representation data structure representing a graph of concepts and relationships between concepts in a corpus. The accelerator device executes the concept analysis operation internal to the accelerator device to generate an output vector identifying concepts in the corpus, identified in the at least one matrix representation data structure, related to the set of one or more concepts extracted from the information source. The accelerator device outputs the output vector to the host system which utilizes the output vector to respond to a request submitted to the host system associated with the information source.

Abstract: An aircraft is provided that includes a passenger service unit for a passenger seated in a seat in its cabin. The aircraft includes a camera configured to acquire an image of the passenger, and a control module configured to at least receive the image of the passenger. The control module is configured to receive non-tactile gesture preference data and dominant hand data, and access a non-tactile gesture data store that includes a plurality of images of non-tactile hand signals or non-tactile hand gestures. Based on the foregoing, the control module is configured to generate non-tactile gesture data in accordance with and indicative of a non-tactile hand signal or a non-tactile gesture made by the passenger. And the control module is configured to control one or more cabin systems including in at least one instance the passenger service unit based on the non-tactile gesture data.

Abstract: Provided is a management system in which required capacity of a storage device can be reduced even when the number of events that occur increases and in which the required capacity can be clearly understood.

Abstract: A tool in a scene is detected using one or more cameras by dividing an image into patches. Multiple different patch sizes are used in conjunction with deep learning to identify the tool in the image. After the tool is identified, a position of the tool in three dimensions is calculated using images from two or more cameras.

Abstract: A surveillance system and method are provided. The surveillance system includes an image capture device configured to capture a video sequence of a target area that includes a set of objects and is formed from a set of image frames. The surveillance system also includes a processor. The processor is configured to detect the objects to form object detections, and track the object detections over the frames to form tracked detections. The processor is further configured to generate for a current input frame, responsive to conditions, a set of sparse object proposals for a current location of an object based on: (i) the tracked detections of the object from an immediately previous frame; and (ii) detection proposals for the object derived from the current frame. The processor is additionally configured to provide a user perceptible indication of the current location of the object, based on the sparse object proposals.

Abstract: Technologies for dynamic performance of image analysis are disclosed. When a camera captures one or more images, context data such as data indicative of motion of the camera is captured as well. The context data is used to determine an image analysis parameter for an image analysis procedure to be performed on the one or more images. The image analysis parameter may dictate which image analysis procedure is to be performed and/or provide input to the image analysis procedure.

Abstract: A system constructs an optical flow field that corresponds with a selected video frame. The optical flow field is constructed based on a first motion of a mobile platform having an imaging device and a status of the imaging device. The first motion and the status are determined with measurements of sensors installed on the mobile platform and/or the imaging device installed on the mobile platform. The first motion includes at least one of a first rotation, a horizontal movement, or a vertical movement of the mobile platform. The status includes a rotation of the imaging device and/or an orientation of the imaging device relative to the mobile platform.

Abstract: An information processing apparatus according to an embodiment of the present technology includes an input unit and a control unit. The input unit inputs a first image that is captured by a first imaging apparatus that sets a first imaging space as an imaging target, and a second image that is captured by a second imaging apparatus that sets a second imaging space different from the first imaging space as an imaging target and switched to/from the first image and displayed. The control unit outputs, when the first and second images are switched to each other, a switching moving image reflecting positional relevance between the first and second imaging spaces.

Abstract: Systems and methods may provide for receiving an authentication input and determining an authentication orientation of a mobile platform during entry of the authentication input. In addition, a determination may be made as to whether to validate a user based on the authentication input and the authentication orientation of the mobile platform. Platform orientation may also be used to detect malware.