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Visual target tracking method and apparatus based on deep adversarial training

机译:基于深度逆境训练的视觉目标跟踪方法和装置

摘要

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.
机译:一种基于深对抗训练的视觉目标跟踪方法和装置。该方法包括:将视频数据的每个视频帧划分为几个搜索区域;对于每个搜索区域,将目标模板和搜索区域输入到响应图回归网络,并输出对应于目标的响应图;对于每个搜索区域,将目标模板,搜索区域和响应图输入到鉴别网络中,并输出搜索区域的分数;并使用与搜索区域对应的定位信息具有最高分数作为视频帧中的目标的定位信息。该方法可以通过构造多个搜索区域来跟踪目标,并且可以有效地跟踪具有长度宽度变化的目标。可以通过将响应图回归网络与鉴别网络组合来实现端到端处理。

著录项

  • 公开/公告号US10970854B2

    专利类型

  • 公开/公告日2021-04-06

    原文格式PDF

  • 申请/专利号US201916503658

  • 发明设计人 XIAOCHEN JI;

    申请日2019-07-05

  • 分类号G06T7/246;G06T7/73;G06T7/11;G06T7;G06T11/20;

  • 国家 US

  • 入库时间 2022-08-24 18:04:42

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