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1. 发明申请

WO2021017282A1 SYSTEMS AND METHODS FOR IMAGE CLUSTERING 审中-公开
公开(公告)号：WO2021017282A1
公开(公告)日：2021-02-04
申请号：PCT/CN2019/117421
申请日：2019-11-12
申请人： ZHEJIANG DAHUA TECHNOLOGY CO., LTD.
发明人： DENG, Xiang , RUAN, Xuewu , ZHOU, Daoli , WANG, Dian
IPC分类号： G06K9/00
摘要： A system and method for image clustering in an image library stored in a storage medium are disclosed. The method may comprise determining one or more image clusters by performing a clustering operation on image data including a plurality of images. The method may also comprise determining a cluster center of each of the one or more image clusters. For each image cluster, the method may further comprise determining a first similarity value by comparing the cluster center of the image cluster and a set center of each of one or more image sets, the image sets belonging to the image library, and storing the image cluster into the image library based on the first similarity value.

2. 发明申请

WO2022111178A1 CLUSTERING AND ARCHIVING METHOD, APPARATUS, DEVICE AND COMPUTER STORAGE MEDIUM 审中-公开
公开(公告)号：WO2022111178A1
公开(公告)日：2022-06-02
申请号：PCT/CN2021/126201
申请日：2021-10-25
申请人： ZHEJIANG DAHUA TECHNOLOGY CO., LTD.
发明人： ZHOU, Daoli , LU, Zhenshan , MA, Dongxing , RUAN, Xuewu
IPC分类号： G06F16/55 , G06F16/583 , G06K9/62
摘要： Disclosed are a clustering and archiving method, an apparatus, an electronic device and a computer storage medium. The method includes: obtaining face feature data of a plurality of face images; obtaining a face image of a hit state and a face image of a non-hit state, and caching the face image of the hit state and the face image of the non-hit state to a resident queue; obtaining a plurality of pre-archived file classes by clustering face images in the residency queue according to a preset period, and recording resident time of each of the face images; archiving a face image of the hit state and with the resident time greater than hit time to an archive where a main file is located; and archiving a face image of the non-hit state and with the resident time greater than non-hit time to a new file.

3. 发明申请

WO2021159681A1 SYSTEMS AND METHODS FOR FEATURE VECTOR COMPARISON 审中-公开
公开(公告)号：WO2021159681A1
公开(公告)日：2021-08-19
申请号：PCT/CN2020/110031
申请日：2020-08-19
申请人： ZHEJIANG DAHUA TECHNOLOGY CO., LTD.
发明人： SHI, Zongju , RUAN, Xuewu
IPC分类号： G06F16/31
摘要： The present disclosure is related to systems and methods for feature vector comparison. The method includes obtaining one or more query feature vectors and storing the one or more query feature vectors in a first storage device to form a queue of query feature vectors. The method includes performing one or more batch processing operations, each batch processing operation of the one or more batch processing operations including reading one or more pre-stored feature vectors stored in a second storage device. The method includes generating a comparison result by comparing the queue of query feature vectors with the one or more pre-stored feature vectors, wherein the comparison result includes one or more target feature vectors satisfying a preset condition in the one or more pre-stored feature vectors.

4. 发明申请

WO2021128883A1 SYSTEMS AND METHODS FOR MANAGING PORTRAIT DATA 审中-公开
公开(公告)号：WO2021128883A1
公开(公告)日：2021-07-01
申请号：PCT/CN2020/110156
申请日：2020-08-20
申请人： ZHEJIANG DAHUA TECHNOLOGY CO., LTD.
发明人： WANG, Dian , RUAN, Xuewu , ZHOU, Daoli , DENG, Xiang
IPC分类号： G06K9/62
摘要： Disclosed herein is a system. The system may obtain a representative feature dataset of each of one or more clusters (410); and obtain a target feature dataset of a target portrait (420); and determine first similarities between the target feature dataset and the representative feature datasets of the one or more clusters (430); determine whether the first similarities satisfy a first condition (440); if at least one of the first similarities corresponding to at least one first cluster of the one or more clusters does not satisfy the first condition, the system may add a new cluster to gather the target feature dataset of the target portrait (441); if at least one of the first similarities corresponding to at least one first cluster of the one or more clusters satisfies the first condition, the system may determine second similarities between the target feature dataset and the feature datasets of one or more portraits in the at least one first cluster (442); determine whether the second similarities satisfy a second condition (443); if at least one of the second similarities corresponding to at least one second cluster does not satisfy the second condition, the system may add a new cluster to gather the target feature dataset of the target portrait (444); if at least one of the second similarities corresponding to at least one second cluster satisfies the second condition, the system may combine the target portrait and the at least one second cluster whose corresponding similarities satisfying the second condition to form a combined cluster (445).

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