Invention Grant
- Patent Title: Visual target tracking method and apparatus based on deep adversarial training
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Application No.: US16503658Application Date: 2019-07-05
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Publication No.: US10970854B2Publication Date: 2021-04-06
- Inventor: Xiaochen Ji
- Applicant: Beijing Moviebook Science and Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: Beijing Moviebook Science and Technology Co., Ltd.
- Current Assignee: Beijing Moviebook Science and Technology Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: Bayramoglu Law Offices LLC
- Priority: CN201910294731.4 20190412
- Main IPC: G06T7/246
- IPC: G06T7/246 ; G06T7/73 ; G06T7/11 ; G06T7/00 ; G06T11/20

Abstract:
A visual target tracking method and apparatus based on deep adversarial training. The method includes: dividing each video frame of video data into several search regions; for each of the search regions, inputting a target template and the search region into a response graph regression network, and outputting a response graph corresponding to a target; for each of the search regions, inputting the target template, the search region, and the response graph into a discrimination network, and outputting a score of the search region; and using positioning information corresponding to a search region with the highest score as positioning information of the target in the video frame. The method can track a target by constructing a plurality of search regions, and can effectively track the target having a change in length-width ratio. End-to-end processing can be achieved by combining the response graph regression network with the discrimination network.
Public/Granted literature
- US20200327680A1 VISUAL TARGET TRACKING METHOD AND APPARATUS BASED ON DEEP ADVERSARIAL TRAINING Public/Granted day:2020-10-15
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