Abstract: A system in a vehicle includes a first sensor to obtain first sensor data from a first field of view and provide a first top-view feature representation. The system also includes a second sensor to obtain second sensor data from a second field of view with an overlap with the first field of view and provide a second top-view feature representation. Processing circuitry implements a neural network and provides a top-view stixel representation based on the first top-view feature representation and the second top-view feature representation. The top-view three-dimensional stixel representation is used to control an operation of the vehicle.

Abstract: An image processing apparatus according to an exemplary embodiment includes one or more processors, and one or more memories storing executable instructions that, when executed by the one or more processors, cause the one or more processors to perform functions of a detection and tracking unit configured to detect and track a person by using an image obtained through capturing of a moving image, an orientation detection unit configured to detect a face orientation of the person, and an action detection unit configured to detect a suspicious action of the person, based on a cumulative value of an amount of time-series change in the face orientation.

Abstract: The present disclosure relates to methods and systems to generate a modified feature map specific to a client. A template feature map may be modified based on usage data associated with a client. The template feature map may represent a visual representation of a plurality of features provided by an operator, each feature associated with a plurality of instructions to be processed for the client. The usage data may be compared with each feature to determine whether any feature is associated and/or utilized by the client. Based on determining whether the usage data indicates that any feature is associated and/or utilized by the client, the template feature map may be modified to perform an action to the template feature map indicating that a feature is associated and/or utilized by the client. A modified template feature map may be generated that is specific for a client.

Abstract: Embodiments are disclosed for using an apparatus to perform pupil identification. An example method includes toggling circuitry configured to determine, based on a measured ambient infrared light level, whether to perform pupil identification using one of either the dark pupil identification process or the bright pupil identification process; and pupil identification circuitry configured to perform pupil identification on a user using the bright identification process upon the determination that the measured ambient infrared light level falls within a first range and to perform dark pupil identification process upon the determination that the measured ambient infrared light level falls within a second range. Corresponding apparatuses and non-transitory computer readable storage media are also provided.

Abstract: Game image processing method, an electronic device, and a computer storage medium are provided. The method includes: in a money substitute operating stage, a first game image is acquired, and first money substitute information and human body image that are detected or recognized from the first game image are associated to obtain association information; in a payout stage, a detection and recognition result for a second game image is acquired before payment or collection of money substitute, the detection and recognition result at least including second money substitute information; when the second money substitute information is successfully associated with a target human body image of the human body image according to the association information, personal identity information corresponding to the target human body image is queried; and payout information corresponding to the personal identity information is determined according to the second money substitute information and a game result.

Abstract: A pothole monitoring and repair system for a road surface includes at least one UAV which includes a video camera, a video processor, a computing unit and a global positioning receiver. The UAV generates video streams of road surfaces using the video camera which are processed by the video processor to extract road frames. The computing unit generates a geo-fenced area of the road surface, and determines whether there is at least one pothole in each of the road frames within the geo-fenced area. The cloud server generates a map of the geo-fenced area, labels location coordinates of each pothole on the map, identifies and labels geographical features in the road frames within the geo-fenced area, extracts pothole features in the road frames, and uses a classifier to predict repair actions based on pothole features and geographical features, which are presented on a front end interface.

Abstract: Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.

Abstract: Methods, systems, and apparatus for video analytics evaluation are disclosed. A method includes: identifying a video to display a result of an evaluation of video analysis; identifying a particular time in the video when a video analysis determination does not match a ground truth determination for the video; displaying an image from the particular time in the video; and displaying an indication that the video analysis determination does not match the ground truth determination for the video. Displaying the image from the particular time in the video can include generating a graphical user interface for presentation on a display of a computing device. The indication that the video analysis determination does not match the ground truth determination for the video can include a user-selectable icon. In response to a user selecting the user-selectable icon, the method can include displaying video analysis results for the particular time in the video.

Abstract: The present invention provides a processing apparatus (10) including an inter-face-image-group determination unit (11) that determines whether a similarity score between a first representative face image in a first face image group and a second representative face image in a second face image group satisfies a first condition, an intra-face-image-group determination unit (12) that determines, for each of the first face image group and the second face image group, whether a second condition defining a relationship between the representative face image and another image in the face image group is satisfied, based on a similarity score between the first representative face image and each of other face images in the first face image group and a similarity score between the second representative face image and each of other face images in the second face image group, and a processing unit (13) that associates a same person identifier (ID) with a plurality of face images included in the first face image group and t

Abstract: A system may include a wearable apparatus dimensioned to be worn by a user about an axial region of the user’s body such that, when the wearable apparatus is worn by the user, the user’s field of view into a local environment is substantially free of a view of the wearable apparatus. The system may also include a machine-perception subsystem that is coupled to the wearable apparatus and that gathers information about the local environment by observing the local environment. Additionally, the system may include an experience-analysis subsystem that infers, based on the information about the local environment and information about the user, contextual information about an experience of the user in the local environment. Furthermore, the system may include a non-visual communication subsystem that outputs the contextual information about the experience of the user. Various other apparatuses, systems, and methods are also disclosed.

Abstract: An image analysis device according to the present invention includes: an image capturing unit that captures a subject; a light emitting unit that emits light to the subject; a sensor unit that senses an inclination of the image capturing unit relative to the subject; a control unit that causes the image capturing unit to capture an image of the subject while controlling light emission of the light emitting unit; and a determination unit that, based on a positional relationship of the image capturing unit and the light emitting unit and the inclination, determines a measurement region spaced apart by a predetermined distance from a reflection region corresponding to a position in the image where a light from the light emitting unit regularly reflects at the subject.

Abstract: A method of adaptive neural image compression with a hyperprior model by meta-learning is performed by at least one processor and includes generating a statistic feature, based on an input image and a hyperparameter, and generating a first shared feature and an estimated adaptive encoding parameter, encoding the input image to obtain a signal encoded image, based on the generated first shared feature and the generated estimated adaptive encoding parameter, generating a second shared feature and an estimated adaptive hyper encoding parameter, generating a hyper feature, based on the signal encoded image, the generated second shared feature, and the generated estimated adaptive hyper encoding parameter, and compressing the obtained signal encoded image, the generated statistic feature, and the generated hyper feature.

Abstract: To present a region which is not fully monitored, provided is a monitoring device comprising a detection means, an estimation means, a determination means, and a presentation means. The detection means detects a person from an image. The estimation means estimates a region which is being viewed by the person who is detected by the detection means. On the basis of the region estimated by the estimation means, the determination means determines a region which requires special attention within a monitoring area. The presentation means presents information indicating the region which requires special attention determined by the determination means.

Abstract: Devices, methods, and systems for occupancy detection are described herein. One device includes instructions to receive an image of a portion of a facility captured by an imaging device, the image defined by a field of view, and set a first occupancy detection threshold for a first part of the field of view and a second occupancy detection threshold for a second part of the field of view.

Abstract: An approach is provided in which the approach captures an image of a component rack that includes a set of hardware components that are part of a hyperconverged system. The approach discovers the set of hardware components on a computer network during a domain-specific discovery process, and verifies that each one of the set of hardware components captured in the image matches one of the discovered set of hardware components. The approach monitors a status of the set of hardware components in response to verifying that each one of the set of hardware components captured in the image matches one of the discovered set of hardware components.

Abstract: A tracking system for tracking objects within a field of view is disclosed. The field of view may include a first zone and an adjacent zone of interest where at least two gates are associated with respective sides of the first zone within the field of view. The first camera is configured to detect when an object crosses one of the at least two gates and track the object throughout the first zone and the zone of interest. The tracking system is configured to generate a first event message in response to the object being tracked from one of the gates into the zone of interest and subsequently leaving the first zone through a dedicated gate of the at least two gates.

Abstract: An investigation assist system includes a plurality of servers and an integration server communicatively connected to a terminal and the plurality of servers. In response to reception of a video captured by a plurality of cameras, each of the plurality of servers performs a video analysis of an object with respect to an incident, with the plurality of servers processing different objects, respectively. Based on an input of a plurality of different object feature elements from the terminal, the integration server sends a search request for corresponding objects to the respective servers corresponding to the object feature elements, receives and integrates search results of the corresponding objects from the respective servers, and causes the terminal to display an integrated search result.

Abstract: A static identification area detecting method and module, chip, electronic device and medium, which can improve the accuracy of static identification area detection.

Abstract: Systems, methods, and computer-readable storage media for digital fingerprinting of media content. The system does this by normalizing and pre-processing the media content into a standard format, then generating fingerprints for image, audio, and/or video aspects of the media. These fingerprints are mathematical vectors generated using one or more techniques, such as perceptual hashes coupled with machine learning. Once the fingerprints for new content is generated, the system can compare those fingerprints to fingerprints of known content to determine if the new content contains prohibited content.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for detecting movement in a scene. A first temporal pixel image is generated based on a first set of images of a scene over time, and a second temporal pixel image is generated based on a second set of images. One or more derived values are determined based on values of the temporal pixels in the first temporal pixel image, the second temporal pixel image, or both. Correspondence data is determined based on the first temporal pixel image and the second temporal pixel image indicative of a set of correspondences between image points of the first set of images and image points of the second set of images. An indication of whether there is a likelihood of motion in the scene is determined based on the one or more derived values and the correspondence data.