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公开(公告)号：US20230186486A1
公开(公告)日：2023-06-15
申请号：US17995752
申请日：2020-10-30
Inventor： Wei Zhang , Xiao Tan , Hao Sun , Shilei Wen , Hongwu Zhang , Errui Ding
CPC classification number: G06T7/20 , G06V10/25 , G06V10/44 , G06V10/761 , G06V10/762 , G06V20/46 , G06T9/00 , G06V2201/08 , G06T2207/30241 , G06T2207/30252
Abstract: A method for tracking vehicles includes: extracting a target image at a current moment from a video stream obtained during traveling of vehicles; performing instance segmentation on the target image to obtain detection boxes corresponding to individual vehicles in the target image; extracting, from the detection box for each vehicle, a set of pixel points corresponding to each vehicle; processing image features of each pixel point in the set of pixel points corresponding to each vehicle to determine features of each vehicle in the target image; and determining, according to the features of each vehicle in the target image and the degree of matching between the features of each vehicle in past images, movement trajectory of each vehicle in the target image, wherein the past images are n images adjacent to and before the target image in the video stream, and n is a positive integer.
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公开(公告)号：US11694436B2
公开(公告)日：2023-07-04
申请号：US17164681
申请日：2021-02-01
Inventor： Minyue Jiang , Xiao Tan , Hao Sun , Hongwu Zhang , Shilei Wen , Errui Ding
CPC classification number: G06V20/20 , G06N3/045 , G06T7/97 , G06V20/176 , G06V20/56
Abstract: The present application discloses a vehicle re-identification method and apparatus, a device and a storage medium, which relates to the field of computer vision, intelligent search, deep learning and intelligent transportation. The specific implementation scheme is: receiving a re-identification request from a terminal device, the re-identification request including a first image of a first vehicle shot by a first camera and information of the first camera; acquiring a first feature of the first vehicle and a first head orientation of the first vehicle according to the first image; determining a second image of the first vehicle from images of multiple vehicles according to the first feature, multiple second features extracted based on the images of the multiple vehicles in an image database, the first head orientation of the first vehicle, and the information of the first camera; and transmitting the second image to the terminal device.
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公开(公告)号：US11610388B2
公开(公告)日：2023-03-21
申请号：US17164613
申请日：2021-02-01
Inventor： Mingyuan Mao , Yuan Feng , Ying Xin , Pengcheng Yuan , Bin Zhang , Shufei Lin , Xiaodi Wang , Shumin Han , Yingbo Xu , Jingwei Liu , Shilei Wen , Hongwu Zhang , Errui Ding
IPC: G06V10/44 , G06T7/73 , G06N3/08 , G06V40/10 , G06V20/52 , G06F18/22 , G06V10/764 , G06V10/778 , G06V10/82
Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.
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Patent Agency Ranking
公开(公告)号：US20210192194A1
公开(公告)日：2021-06-24
申请号：US17022219
申请日：2020-09-16
Inventor： Zhizhen Chi , Fu Li , Hao Sun , Dongliang He , Xiang Long , Zhichao Zhou , Ping Wang , Shilei Wen , Errui Ding
Abstract: The present application discloses a video-based human behavior recognition method, apparatus, device and storage medium, and relates to the technical field of human recognitions. The specific implementation scheme lies in: acquiring a human rectangle of each video frame of the video to be recognized, where each human rectangle includes a plurality of human key points, and each of the human key points has a key point feature; constructing a feature matrix according to the human rectangle of the each video frame; convolving the feature matrix with respect to a video frame quantity dimension to obtain a first convolution result and convolving the feature matrix with respect to a key point quantity dimension to obtain a second convolution result; inputting the first convolution result and the second convolution result into a preset classification model to obtain a human behavior category of the video to be recognized.
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公开(公告)号：US20220254251A1
公开(公告)日：2022-08-11
申请号：US17730961
申请日：2022-04-27
Inventor： Yuting Du , Xu Dai , Mengyao Sun , Shilei Wen
Abstract: A method of recognizing illegal parking of a vehicle, a device, and a storage medium, which relate to the field of artificial intelligence, and in particular to the fields of deep learning, cloud computing, computer vision, etc. The method includes: obtaining a video image collected by an electronic device; recognizing a parking area of the vehicle in the video image; determining a shooting angle used by the electronic device for collecting the video image; determining an illegal parking area in the video image based on the shooting angle; and recognizing whether the vehicle is illegally parked or not based on the parking area of the vehicle and the illegal parking area.
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公开(公告)号：US12039864B2
公开(公告)日：2024-07-16
申请号：US17730961
申请日：2022-04-27
Inventor： Yuting Du , Xu Dai , Mengyao Sun , Shilei Wen
CPC classification number: G08G1/0175 , G06T3/40 , G06T7/70 , G06V10/82 , G06V20/46 , G06V20/54 , H04N23/635 , G06T2207/10016 , G06T2207/30236 , G06T2207/30252 , G06V2201/08
Abstract: A method of recognizing illegal parking of a vehicle, a device, and a storage medium, which relate to the field of artificial intelligence, and in particular to the fields of deep learning, cloud computing, computer vision, etc. The method includes: obtaining a video image collected by an electronic device; recognizing a parking area of the vehicle in the video image; determining a shooting angle used by the electronic device for collecting the video image; determining an illegal parking area in the video image based on the shooting angle; and recognizing whether the vehicle is illegally parked or not based on the parking area of the vehicle and the illegal parking area.
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公开(公告)号：US11430265B2
公开(公告)日：2022-08-30
申请号：US17022219
申请日：2020-09-16
Inventor： Zhizhen Chi , Fu Li , Hao Sun , Dongliang He , Xiang Long , Zhichao Zhou , Ping Wang , Shilei Wen , Errui Ding
Abstract: The present application discloses a video-based human behavior recognition method, apparatus, device and storage medium, and relates to the technical field of human recognitions. The specific implementation scheme lies in: acquiring a human rectangle of each video frame of the video to be recognized, where each human rectangle includes a plurality of human key points, and each of the human key points has a key point feature; constructing a feature matrix according to the human rectangle of the each video frame; convolving the feature matrix with respect to a video frame quantity dimension to obtain a first convolution result and convolving the feature matrix with respect to a key point quantity dimension to obtain a second convolution result; inputting the first convolution result and the second convolution result into a preset classification model to obtain a human behavior category of the video to be recognized.
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公开(公告)号：US11288887B2
公开(公告)日：2022-03-29
申请号：US16869411
申请日：2020-05-07
Inventor： Xipeng Yang , Xiao Tan , Hao Sun , Shilei Wen , Errui Ding
Abstract: Embodiments of the present disclosure provide an object tracking method and an apparatus. The method includes: obtaining multiple frames of first images shot by a first camera apparatus and a first shooting moment of each frame of the first images, where the first images include a first object; obtaining multiple frames of second images shot by a second camera apparatus and a second shooting moment of each frame of the second images, where the second images include a second object; obtaining a distance between the first camera apparatus and the second camera apparatus; and judging whether the first object and the second object are the same object according to the multiple frames of the first images, the first shooting moment of each frame of the first images, the multiple frames of the second images, the second shooting moment of each frame of the second images and the distance.
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