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公开(公告)号：US20220172376A1
公开(公告)日：2022-06-02
申请号：US17675979
申请日：2022-02-18
Inventor： Xiangbo SU , Jian WANG , Hao SUN
Abstract: The present disclosure provides a target tracking method, a target tracking device and an electronic apparatus. The target tracking method includes: inputting an ith image and an (i−1)th image in a to-be-detected video stream into a target deep learning model, i being an integer greater than 1; detecting a target in the ith image to obtain a first target detection box, and tracking the target in the (i−1)th image to obtain a tracking heatmap; and determining a target tracking result in accordance with the first target detection box, the tracking heatmap and the (i−1)th image.
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Patent Agency Ranking
公开(公告)号：US20220027606A1
公开(公告)日：2022-01-27
申请号：US17494724
申请日：2021-10-05
Inventor： Tao HU , Xiangbo SU
Abstract: A human behavior recognition method, a device, and a storage medium are provided, which are related to the field of artificial intelligence, specifically to computer vision and deep learning technologies, and applicable to smart city scenarios. The method includes: obtaining attribute information of a target object and N pieces of candidate behavior-related information of a target human from a target image, wherein N is an integer greater than or equal to 1; determining target behavior-related information based on comparison results between the N pieces of candidate behavior-related information and the attribute information of the target object; and determining a behavior recognition result of the target human based on the target behavior-related information.
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公开(公告)号：US20220351493A1
公开(公告)日：2022-11-03
申请号：US17868630
申请日：2022-07-19
Inventor： Xiangbo SU , Qiman Wu , Shuai KANG , Jian WANG , Hao SUN
Abstract: A method and apparatus for detecting an object. The method includes: inputting a to-be-detected picture into a target detection model, marking at least one region of interest in the picture using the target detection model, and determining an initial confidence that each region of interest contains a preset target object; determining concentration information of an interferent in the picture; and determining, based on the concentration information and the initial confidence corresponding to the region of interest, a target confidence that the region of interest contains the preset target object.
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4.发明公开公开(公告)号：US20230289402A1
公开(公告)日：2023-09-14
申请号：US18055393
申请日：2022-11-14
Inventor： Jian WANG , Xiangbo SU , Qiman WU , Zhigang WANG , Hao SUN , Errui DING , Jingdong WANG , Tian WU , Haifeng WANG
IPC: G06K9/62
CPC classification number: G06K9/62 , G06K9/6288
Abstract: Provided are a joint perception model training method, a joint perception method, a device, and a storage medium. The joint perception model training method includes: acquiring sample images and perception tags of the sample images; acquiring a preset joint perception model, where the joint perception model includes a feature extraction network and a joint perception network; performing feature extraction on the sample images through the feature extraction network to obtain target sample features; performing joint perception through the joint perception network according to the target sample features to obtain perception prediction results; and training the preset joint perception model according to the perception prediction results and the perception tags, where the joint perception includes executing at least two perception tasks.
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5.发明申请公开(公告)号：US20220383535A1
公开(公告)日：2022-12-01
申请号：US17776155
申请日：2020-09-25
Inventor： Xiangbo SU , Yuchen YUAN , Hao SUN
Abstract: The present disclosure provides an object tracking method, an object tracking device, an electronic device and a computer-readable storage medium, and relates to the field of computer vision technology. The object tracking method includes: detecting an object in a current image, so as to obtain first information about an object detection box, the first information being used to indicate a first position and a first size; tracking the object through a Kalman filter, so as to obtain second information about an object tracking box in the current image, the second information being used to indicate a second position and a second size; performing fault-tolerant modification on a predicted error covariance matrix in the Kalman filter, so as to obtain a modified covariance matrix; calculating a Mahalanobis distance between the object detection box and the object tracking box in the current image in accordance with the first information, the second information and the modified covariance matrix; and performing a matching operation between the object detection box and the object tracking box in the current image in accordance with the Mahalanobis distance.
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公开(公告)号：US20220301183A1
公开(公告)日：2022-09-22
申请号：US17836507
申请日：2022-06-09
Inventor： Shuai KANG , Xiangbo SU
Abstract: A method and apparatus for tracking an object, an electronic device, and a readable storage medium are provided. The method can include: determining an object re-identification feature of each target object in a target frame image, the object re-identification feature comprising position information of each target object; and performing object tracking based on the object re-identification feature of each target object.
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