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公开(公告)号：US11379696B2
公开(公告)日：2022-07-05
申请号：US16817419
申请日：2020-03-12
Inventor： Zhigang Wang , Jian Wang , Shilei Wen , Errui Ding , Hao Sun
Abstract: The present disclosure provides a pedestrian re-identification method and apparatus, computer device and readable medium. The method comprises: collecting a target image and a to-be-identified image including a pedestrian image; obtaining a feature expression of the target image and a feature expression of the to-be-identified image respectively, based on a pre-trained feature extraction model; wherein the feature extraction model is obtained by training based on a self-attention feature of a base image as well as a co-attention feature of the base image relative to a reference image; identifying whether a pedestrian in the to-be-identified image is the same pedestrian as that in the target image according to the feature expression of the target image and the feature expression of the to-be-identified image. According to the pedestrian re-identification method of the present disclosure, the accuracy of the pedestrian re-identification can be effectively improved when the feature extraction model is used to perform the pedestrian re-identification.
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公开(公告)号：US11854237B2
公开(公告)日：2023-12-26
申请号：US17353324
申请日：2021-06-21
Inventor： Zipeng Lu , Jian Wang , Yuchen Yuan , Hao Sun , Errui Ding
IPC: G06V10/25 , G06V40/10 , G06F18/214 , G06V10/75 , G06V10/764 , G06V10/774 , G06V10/82
CPC classification number: G06V10/25 , G06F18/214 , G06V10/757 , G06V10/764 , G06V10/774 , G06V10/82 , G06V40/10 , G06V40/103
Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.
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Patent Agency Ranking
公开(公告)号：US20210295088A1
公开(公告)日：2021-09-23
申请号：US17303896
申请日：2021-06-09
Inventor： Xiangbo Su , Jian Wang
Abstract: Provided are an image detection method and apparatus, a device, a storage medium and a computer program product, the method includes: performing feature extraction on an image to be detected to obtain a feature map; performing target detection on the feature map through a target branch network to obtain target detection information of candidate anchor boxes at a pixel position of the feature map; performing keypoint detection on the feature map through a keypoint branch network to obtain positions of keypoints in the candidate anchor boxes at the pixel position of the feature map, and generating heatmap groups of the candidate anchor boxes according to the positions of the keypoints; and obtaining information about a target object in the image to be detected and positions of keypoints of the target object according to the target detection information and the heatmap groups.
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4.发明授权公开(公告)号：US11915484B2
公开(公告)日：2024-02-27
申请号：US17304296
申请日：2021-06-17
Inventor： Zhigang Wang , Jian Wang , Errui Ding , Hao Sun
IPC: G06K9/46 , G06K9/62 , G06V20/52 , G06F18/23 , G06F18/214 , G06F18/21 , G06V10/762 , G06V10/764 , G06V10/774 , G06V10/82 , G06V20/64 , G06V40/10
CPC classification number: G06V20/52 , G06F18/214 , G06F18/2178 , G06F18/23 , G06V10/762 , G06V10/764 , G06V10/7753 , G06V10/82 , G06V20/64 , G06V40/10 , G06V2201/07
Abstract: A method, an apparatus, device and a storage medium for generating a target re-recognition model are provided. The method may include: acquiring a set of labeled samples, a set of unlabeled samples and an initialization model obtained through supervised training; performing feature extraction on each sample in the set of the unlabeled samples by using the initialization model; clustering features extracted from the set of the unlabeled samples by using a clustering algorithm; assigning, for each sample in the set of the unlabeled samples, a pseudo label to the sample according to a cluster corresponding to the sample in a feature space; and mixing a set of samples with a pseudo label and the set of the labeled samples as a set of training samples, and performing supervised training on the initialization model to obtain a target re-recognition model.
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公开(公告)号：US11810319B2
公开(公告)日：2023-11-07
申请号：US17303896
申请日：2021-06-09
Inventor： Xiangbo Su , Jian Wang
CPC classification number: G06T7/73 , G06T7/62 , G06T7/70 , G06V10/25 , G06V10/462 , G06V10/48 , G06T2207/20084
Abstract: Provided are an image detection method and apparatus, a device, a storage medium and a computer program product, the method includes: performing feature extraction on an image to be detected to obtain a feature map; performing target detection on the feature map through a target branch network to obtain target detection information of candidate anchor boxes at a pixel position of the feature map; performing keypoint detection on the feature map through a keypoint branch network to obtain positions of keypoints in the candidate anchor boxes at the pixel position of the feature map, and generating heatmap groups of the candidate anchor boxes according to the positions of the keypoints; and obtaining information about a target object in the image to be detected and positions of keypoints of the target object according to the target detection information and the heatmap groups.
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公开(公告)号：US20210312172A1
公开(公告)日：2021-10-07
申请号：US17353324
申请日：2021-06-21
Inventor： Zipeng Lu , Jian Wang , Yuchen Yuan , Hao Sun , Errui Ding
Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.
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公开(公告)号：US11610389B2
公开(公告)日：2023-03-21
申请号：US17201665
申请日：2021-03-15
Inventor： Jian Wang , Zipeng Lu , Hao Sun , Hongwu Zhang , Shilei Wen , Errui Ding
IPC: G06T7/73 , G06V10/46 , G06N3/04 , G06F18/213 , G06V10/764 , G06V10/82 , G06V40/20
Abstract: A method and apparatus for positioning a key point, a device, and a storage medium are provided. The method may include: extracting a first feature map and a second feature map of a to-be-positioned image, the first feature map and the second feature map being different feature maps; determining, based on the first feature map, an initial position of a key point in the to-be-positioned image; determining, based on the second feature map, an offset of the key point; and adding the initial position of the key point with the offset of the key point to obtain a final position of the key point.
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