中圖分類號(hào)： TP18 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.212358 中文引用格式： 孫志成,，董一杰，胡愛(ài)蘭,，等. 關(guān)聯(lián)動(dòng)態(tài)特征的目標(biāo)自適應(yīng)跟蹤算法[J].電子技術(shù)應(yīng)用,，2022，48(11)：57-62. 英文引用格式： Sun Zhicheng,，Dong Yijie,，Hu Ailan，et al. Adaptive tracking algorithm for target based on associated dynamic features[J]. Application of Electronic Technique,，2022,，48(11)：57-62.
Adaptive tracking algorithm for target based on associated dynamic features
Sun Zhicheng1，Dong Yijie2,，Hu Ailan2,，Zhang Ruiquan2
1.63861 Troop，Baicheng 137000,，China,； 2.National Computer System Engineering Research Institute of China，Beijing 100083,，China
Abstract： In the complex scene of shooting range test, the test site often involves the changeable natural environment including dust, strong light, occlusion, etc. A single target tracking algorithm associated with dynamic features is proposed to track fast moving targets in this case. Firstly, the gated recurrent unit is used to extract the time series dynamic characteristics of the target which need to be tracked, so as to obtain a set of candidate processing target frames. Then,，convolutional network is adopted to extract the depth convolution features of the candidate target frame and determine target position, as well as separating the background convolution features. In the tracking process, the separated background convolution feature map is applied to update network parameters to enhance the robustness and adaptability of network. Experimental results show that the proposed algorithm can adaptively track moving target in the shooting range image acquisition system, which can still maintain excellent robustness and adaptability in the context of complex environment.
Key words : range test；adaptive tracking,；gated recurrent unit,；convolutional neural network
