Abstract: A method for image processing medical self-test results receives a digital image of a self-test result generated by a self-test device. The digital image is processed using generalized curve field transforms to extract relevant geometrical features of the digital image to create a transformed image that is not distorted by distortions of the digital image. The transformed image is displayed for use in a medical diagnosis.

Abstract: A method and apparatus for processing information are provided. A specific embodiment of the method includes: identifying at least one obstacle from a point cloud collected by a lidar during a traveling process of a vehicle; for an obstacle in the at least one obstacle, determining an appearance rate of the obstacle within a life cycle corresponding to the obstacle; determining a confidence degree of a grid region of at least one grid region based on appearance rates of obstacles in the at least one obstacle; determining a target grid region from the at least one grid region based on the confidence degree, and determining whether an obstacle detected in the target grid region is an obstacle detected for a first time; and if yes, filtering out a point cloud corresponding to the obstacle detected in the target grid region for the first time.

Abstract: The present disclosure discloses a face identification system that includes an image-retrieving circuit, an invisible light source and a processing circuit. The image-retrieving circuit includes light-sensing elements each including a plurality of visible light sensors and an invisible light sensor. The processing circuit executes software and firmware executable commands to execute a face identification method that includes the steps outlined below. An invisible light is emitted to an object to be identified by the invisible light source. A visible light sensed frame and an invisible light sensed frame are retrieved by using the visible and invisible light sensors. Determine whether a light reflection related parameter of the invisible light sensed frame is within a predetermined range is determined only according to the invisible light sensed frame. When the light reflection related parameter is within the predetermined range, the object to be identified is determined to be a real face.

Abstract: A method for selective boundary detection includes identifying a plurality of boundaries for a plurality of subregions in a region of interest utilizing one or more multispectral images for the region of interest. The method further includes analyzing a plurality of adjacent fields to a first field in a first subregion out of the plurality of subregions utilizing a region identification criterion based on a plurality of attributes for the first field and the plurality of adjacent fields. The method further includes determining, based on the analyzing, the first region with the first field requires further analysis of multitemporal remote sensed data over a defined period of time.

Abstract: Location-Based Addressing (LBA) is a method of controlling and commissioning networked lighting devices. The lighting devices communicate over a wireless network using radio frequency communication protocols. The lighting devices are commissioned or grouped based on their 5 respective locations in a building floor plan or a building architecture. The lighting devices are commissioned to respond to radio frequency communications that correspond to their respective locations. This imposed location-based architecture reduces the amount of transmitted data required to control the lighting devices and, thus, reduces the radio bandwidth required to control the lighting devices. In other words, controlling devices “multicast” instructions and controlled devices “listen” for instructions and act only upon instructions that correspond to their respective location. Hand shaking or two-way communication between the controlling devices and the controlled devices is not required.

Abstract: A system including a vehicle electronic control unit, an imaging device, and a controller is disclosed. The controller includes a processor and memory storing computer-readable medium including executable instructions that, when executed by the processor, cause the controller to capture an image of an operator of a vehicle by the imaging device, determine a facial expression of the operator, and transmit a vehicle operation command to the vehicle electronic control unit. The vehicle operation command causes the vehicle electronic control unit to perform a vehicle operation action based on the facial expression of the operator and an operation state of the vehicle.

Abstract: A system and method for discouraging the in appropriate use of a mobile device including registering a mobile device with a monitoring application running on a system coupled with a network. A mobile device is linked with the monitoring application through the network. The operational status of the mobile device is monitored to detect if a change occurs in the operational status. A change in the operational status of the mobile device is reported to the monitoring program with time information and the status change is displayed in a graphical interface, and a notification message is sent to a system user. Beacons might also be implemented to advise a device user to disable a mobile device to be monitored.

Abstract: The present disclosure provides a human body recognition method and apparatus, and a storage medium, the method comprising: determining a coordinate of a target person in a three-dimensional space according to images containing the target person collected by at least two cameras; calculating back-projection errors of the target person under different cameras respectively according to the coordinate of the target person in the three-dimensional space; determining whether the cameras have a human body recognition error according to the back-projection errors of the cameras; when a camera has the human body recognition error, performing re-recognition of the target person under the camera by using person re-identification ReID, until the back-projection errors of all the cameras containing the target person are not greater than a preset threshold. The present disclosure can improve accuracy of the human body recognition result effectively.

Abstract: An embodiment takes the form of a training server that presents a video comprising a plurality of frames, each comprising a respective scene representation of a scene at a respective time. The scene representations comprise respective representations of a feature in the scene. The training server presents a respective gaze representation of a driver gaze for each frame. The gaze representations comprise respective representations of driver gaze locations at the times of the respective scene representations. The training server generates an awareness prediction via a neural network based on the driver gaze locations, the awareness prediction reflecting a predicted driver awareness of the feature. The training server receives an awareness indication associated with the video and the gaze representations, and trains the neural network based on a comparison of the awareness prediction with the awareness indication.

Abstract: Presented herein are methods and systems for alerting users identified in a monitored location, by an edge node located at an edge of a network, to be preoccupied by interaction with client devices of potential risk events, comprising analyzing, at the edge node, images captured by one or more imaging sensors deployed to monitor a monitored location in order to estimate a motion pattern of one or more passerby users preoccupied by watching a screen of a client device, analyzing the images with respect to the estimated motion pattern(s) to identify a potential risk event involving one or more of the preoccupied passerby users and transmitting one or more warning messages alert one or more of the preoccupied passerby users of the potential risk event.

Abstract: The present disclosure provides method, apparatus and system for detecting contents expressing emotions from a video. The method may comprise: dividing the video into a plurality of clips; extracting, from a first clip and at least one second clip of the plurality of clips, features associated with the first clip; determining whether the first clip expresses emotions based on the features associated with the first clip; and building an index containing the first clip based on the features associated with the first clip if the first clip expresses emotions.

Abstract: A storage system and method for improved playback analysis are provided. In one embodiment, a storage system is provided comprising a memory and a controller. The controller is configured to identify a plurality of frames in video data stored in the memory that differ from surrounding frames by more than a threshold amount; receive a request from a host for quick playback of the video data; and send the plurality of frames to the host. Other embodiments are provided.

Abstract: There is disclosed integrated circuitry having a bit receiving arrangement adapted for receiving, in parallel, a plurality of data bits, the bit receiving arrangement further being adapted for receiving a data bit inversion bit associated to the plurality of data bits, the data bit inversion bit being for indicating whether the bits of the plurality of data bits are inverted. The integrated circuitry also has a bit inversion arrangement adapted for inverting the bits of the plurality of data bits based on a comparison between the received data bit inversion bit and an inversion estimate bit, the inversion estimate bit being determined based on the plurality of data bits. The disclosure also pertains to related methods and devices.

Abstract: System and method for encryption currency counter measure and deterrence against counterfeiting. The system tracks the FSN for each FRN, from the time a serial number is assigned to a new bill, until the time the bill is retired from circulation.

Abstract: Embodiments of the present disclosure disclose a lane line-based intelligent driving control method and apparatus, and an electronic device. The method includes: obtaining a lane line detection result of a vehicle traveling environment; determining, according to a traveling state of the vehicle and the lane line detection result, an estimated distance of traveling out of the lane line by the vehicle and/or estimated time of traveling out of the lane line by the vehicle; and performing intelligent driving control on the vehicle according to the estimated distance and/or the estimated time. The embodiments of the present disclosure implement lane line-based intelligent control on the vehicle traveling state, thereby helping to improve the driving safety.

Abstract: In some examples, one or more processors may receive at least one image of a road, and may determine at least one candidate group of pixels in the image as potentially corresponding to debris on the road. The one or more processors may determine at least two height-based features for the candidate group of pixels. For instance, the at least two height-based features may include a maximum height associated with the candidate group of pixels relative to a surface of the road, and an average height associated the candidate group of pixels relative to the surface of the road. In addition, the one or more processors may determine at least one weighting factor based on comparing the at least two height-based features to respective thresholds, and may determine whether the group of pixels corresponds to debris based at least on the comparing.

Abstract: A mechanism is described for facilitating visual anomaly detection without reference in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to select a frame from a sequence of multiple frames associated with a video stream captured by a camera, and dynamically compute a frame confidence score for the frame based on frame training data associated with frame. The one or more processors are further to detect one or more anomalies in the frame when the frame confidence score is less than a frame confidence threshold associated with the frame, where detecting includes dynamically comparing the frame confidence score with the frame confidence threshold through inference using frame field data and the frame training data.

Abstract: An imaging abnormality diagnosis device includes one or more processors configured to: detect a lane line in an image of a road surface captured by a camera mounted on a vehicle; estimate a shape of a road on which the vehicle is traveling, based on an output of a detector mounted on the vehicle, the detector being other than the camera; and detect as a distorted area an area in the image where the shape of the road and a shape of the lane line do not coincide with each other.

Abstract: Techniques are disclosed for updating map data. The techniques may include detecting a traffic light in a first image, determining, based at least in part on the traffic light detected in the first image, a proposed three-dimensional position of the traffic light in a three-dimensional coordinate system associated with map data. The proposed three-dimensional position may then be projected into a second image to determine a two-dimensional position of the traffic light in the second image and the second image may be annotated, as an annotated image, with a proposed traffic light location indicator associated with the traffic light. The techniques further include causing a display to display the annotated image to a user, receiving user input associated with the annotated images, and updating, as updated map data, the map data to include a position of the traffic light in the map data based at least in part on the user input.

Abstract: An object tracking apparatus for a sequence of images, wherein a plurality of tracks have been obtained for the sequence of images, and each of the plurality of tracks is obtained by detecting an object in several images included in the sequence of images. The apparatus comprises matching track pair determining unit configured to determine a matching track pair from the plurality of tracks, wherein the matching track pair comprise a previous track and a subsequent track which correspond to the same object and are discontinuous, and combining unit configured to combine the previous track and the subsequent track included in the matching track pair.