Abstract: A person detection system of the present invention includes: a person extraction unit that extracts person information from image information; a group determination unit that extracts behavior information from the image information and determines a group; a first person identification unit that identifies a first person from the image information, based on the person information and the behavior information; a second person identification unit that identifies a second person belonging to a same group as the first person from the image information, based on the person information of a person identified as the first person and the group information; and a position identification unit that identifies a position of the first person and a position of the second person, based on position information of the security cameras used for taking the image information based on which the first person and the second person have been identified, respectively.

Abstract: A prediction apparatus includes a learning section that performs machine learning in which, with respect to a combination of different types of captured images obtained by imaging the same subject, one captured image is set to an input and another captured image is set to an output to generate a prediction model; and a controller that performs a control for inputting a first image to the prediction model as an input captured image and outputting a predicted second image that is a captured image having a type different from that of the input captured image.

Abstract: An object tracking method includes generating a feature map of a search image and generating a feature map of a target image, obtaining an object classification result and a basic bounding box based on the feature map of the search image and the feature map of the target image, obtaining an auxiliary bounding box based on the feature map of the search image, obtaining a final bounding box based on the basic bounding box and the auxiliary bounding box, and tracking an object based on the object classification result and the final bounding box.

Abstract: An apparatus comprising: a sampler for over-sampling an input signal to produce a sampled input signal; a delta-sigma modulator for modulating the sampled input signal to produce a modulated signal; and a filter for filtering the modulated signal, the filter comprising: a conductive patch and a ground plane separated by a dielectric wherein the ground plane comprises a band-gap periodic structure.

Abstract: A system for determining spraying information used for spraying a 3D object using a spray tool is provided. The system includes a 3D image capturing device and a computing device. The 3D image capturing device is configured to capture a 3D image of the 3D object. The computing device is configured to determine a plurality of border data points of the 3D object based on the 3D image, to determine a plurality of inside points positioned on a surface of the 3D object within a range defined among the border data points according to a spray width with which the spray tool is to spray the 3D object, and to output the border data points and the inside points as the spraying information for spraying the 3D object.

Abstract: Embodiments herein provide various systems and methods for automated classification of vehicle reads to build vehicle identification profile and for automated vehicle identification using content extracted from an image frame of a vehicle to identify a most probable vehicle identification profile. An example method comprises capturing, by a camera, a read comprising an image frame including a portion of a vehicle; identifying at least one of a license plate number and a descriptor of the vehicle using image processing on the read; determining a probability value that the read includes the vehicle based on the identified at least one of the license plate number and the descriptor; when the probability value exceeds a threshold value, identifying a vehicle identification profile in a database using the identified at least one of the license plate number and the descriptor; and updating the vehicle identification profile to include the captured read.

Abstract: A method and apparatus to analyze video data comprising: using a camera with a computing device with a memory storage and a power source to capture and to store the video data; simultaneously compressing and analyzing said video data using Low Level Analysis of contours of static and moving objects within the video data; said compression can be wavelet-based decomposition; and said analysis of the video data compares real-time semantic human activity within the video data, whereby the method identifies the specific human activity within the video data; the camera can be wirelessly connected to a base station and communicates through 2-way full duplex connection.

Abstract: A Personal Identity Verification System for verifying the identity of an individual (600) carrying a wireless mobile communications device (400) is proposed, comprising image data of an area of the individual's body, said image data being stored in the wireless mobile communications device (400), at least one image capture device (100) configured to capture visual data of an area of the individual's body and at least one wireless communications module (200) configured to receive the image data from the wireless mobile communications device (400). Further, an electronic circuit (300) is provided that is configured to compare the visual data with the image data and to generate positive verification information when the visual data and the image data are established to be similar within a similarity-tolerance.

Abstract: A method and apparatus is provided to perform medical imaging in which feature-aware reconstruction is performed using a neural network. The neural network is trained to perform feature-aware reconstruction by using a training dataset in which the target data has a spatially-dependent degree of denoising and artifact reduction based on the features represented in the image. For example, a target image can be generated by reconstructing multiple images, each using a respective regularization parameter that is optimized for a different anatomy/organ (e.g., abdomen, lung, bone, etc.). And a target image can be generated using artifact reduction method (e.g. metal artifact reduction, aliasing artifact reduction, etc.). Then respective regions/features (e.g., abdomen, lung, and bone, artifact free, regions/features) can be extracted from the corresponding images and combined into a single combined image, which is used as the target data to train the neural network.

Abstract: Provided are a method and a device for constructing autonomous driving test scenes, a terminal and a readable storage media. Primitive scenes are extracted from real traffic scenes to establish a primitive scene description model. The values of the description variables are selected from distribution intervals of the description variables of the primitive scenes, and the description variables are randomly sampled based on the distribution of the description variables to generate test primitive scenes by adopting an importance sampling based Monte Carlo method. The test primitive scenes are recombined according to the parameters of the elements of the test scene to generate the test scene. The present invention can directly simulate the actual complex system, so as to avoid the result distortion caused by the simplification of the complex system.

Abstract: In a method for diagnosing and treating a patient having lesions in both arteries of left and right lower limbs. By determining that a larger lesion curvature to be treated first, catheters and an operation time can be reduced is to be treated first on a priority basis based on diagnostic data, deciding that a smaller lesion curvature is to be treated next, then treating the lesions substantially continuously.

Abstract: A monitoring system for obtaining a video related to medication adherence of a user, includes: a wireless communication device comprising a motion sensor, an ambient light sensor, a first transceiver transmitting data to an external device, and a first controller configured to control the motion sensor, the ambient light sensor, and the first transceiver, the wireless communication device having an attaching portion for being attached to an object containing a medication; and a wearable device including a camera, a second transceiver receiving a signal from the first transceiver, and a second controller configured to obtain video data through the camera based on the signal received through the second transceiver.

Abstract: A method includes for each of a plurality of successive images in a camera video stream, searching for at least one person present in the image and defining, in the image, for each person found, a field, called person field, at least partially surrounding that person; for each of at least one person found, gathering into a track segment several person fields derived from successive images and at least partially surrounding that same person; for each track segment, identifying the person in that track segment, by a visual signature from that person, this identification including: for each person field in the track segment, determining a visual signature from the person in that track segment, called local visual signature; determining an aggregated visual signature from the local visual signatures; and identifying the person in that track segment from the aggregated visual signature.

Abstract: A display panel inspection method and a apparatus are provided, and the method includes the steps of: capturing a grayscale image while a predetermined light source is irradiating a display panel, and the grayscale image including plural pixel electrode images corresponsive to plural pixel electrodes in the display panel respectively; obtaining a grayscale range of the respective pixel electrode image; calling a predetermined correspondence between a predetermined grayscale range and a pixel electrode type; and identifying the pixel electrode type of the respective pixel electrode image according to the predetermined correspondence and the grayscale range.

Abstract: Various embodiments describe communication systems for implementing high-speed transmission systems using waveguide-mode transmission over wires. In certain examples, a communication system uses wire pairs as “waveguides” that transmit data at high frequencies and speeds. The data is transmitted through wave propagation that takes various forms, such as surface waves and Total Internal Reflection (TIR) waves.

Abstract: The present disclosure relates to a video rating method, a video rating device, equipment and a storage medium, relating to the field of multimedia. An embodiment of the present disclosure provides a method for automatically rating a video based on features of multiple modals of the video and rating embedding modes. By fusing the features of the multiple modals of the video, the rating of the video is converted into rating embedding in a vector space, and a matching degree between a target feature fusing with the multiple modals and each rating embedding is acquired, the rating of the video is predicted according to the matching degree corresponding to each rating embedding, and the video rating efficiency and accuracy can be improved.

Abstract: A system includes video cameras arranged to monitor a vulnerable person, and a processor system that receives video frames from the video cameras, the processor system comprising a processor and a non-transitory, computer-readable storage medium having machine instructions executed by the processor. The processor detects and identifies objects in a current received video frame, classifies an identified object as the person by applying a facial recognition algorithm that identifies the person, determines a posture of the person by identifying joints, limbs, and body parts, and their respective orientations to each other and to a plane, and immediately discards the current video frame. The processor then determines a change in motion, of the person, between the current received video frame and one or more prior received video frames, and, based on the determined posture and the change in motion, determines that the person has experienced a defined event.

Abstract: Embodiments of this disclosure provide an image processing method and apparatus, a computer-readable medium, and an electronic device. The image processing method includes: obtaining a to-be-processed image; determining a to-be-processed object in the to-be-processed image, the to-be-processed object comprising at least one of a human face, an animal face, or a cartoon character face; selecting a reference animated image to be applied to the to-be-processed image; processing the to-be-processed image according to the reference animated image, to generate a plurality of frames of images, each frame of the plurality of frames of images comprising the to-be-processed object; and composing the plurality of frames of images into a target animated image.

Abstract: The invention pertains to a method for estimating the attention level of the driver of a vehicle in a traffic lane, comprising the following steps: —the continuous capture of images (10) of the ground, —the reconstruction of an aerial view (11, 12) of a ground segment at successive instants t, —the reconstruction of an aerial view (11, 12) of a road segment at successive current instants t, —the estimation of the lateral position of the vehicle (100) in the reconstructed aerial view (11, 12), and the storage of said estimated positions of the vehicle, —the determination of an estimated attention level of the driver at a past instant t3, as a function: o of the evolution of the lateral position of the vehicle, o of the analysis of the profile of a road portion at least partially situated upstream of the vehicle at the instant t3.

Abstract: This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, an electronic device may detect a portion of a user, such as a hand. The electronic device may then determine locations of the portion of the user relative to the electronic device. Based on the locations, the electronic device may cause a visual indicator to provide instructions to the user for placing the portion of the user at a target location relative to the electronic device. For example, the visual indicator may emit light indicating that the portion of the user is off-centered, angled, too low, and/or too high. After providing the instructions and determining that the portion of the user is at the target location, the electronic device may capture at least an image of the portion of the user and use the image to identify an account.