结构稀疏表示分类目标跟踪算法*
侯跃恩1＋，李伟光2
1.嘉应学院计算机学院，广东梅州514000
2.华南理工大学机械与汽车工程学院，广州510000
Structured Sparse Representation Classification Object Tracking Algorithm HOU Yue en 1＋,LI Weiguang 2
1.School of Computer,Jiaying University,Meizhou,Guangdong 514000,China
2.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510000,China +Corresponding author:E-mail:houyueen@https://www.doczj.com/doc/ad12605131.html,
HOU Yue en,LI Weiguang.Structured sparse representation classification object tracking algorithm.Jour-nal of Frontiers of Computer Science and Technology,2016,10(7)：1035-1043.
Abstract:In order to enhance the robustness and precision of tracking algorithm in complex scenarios,this paper pro-poses a Bayes classification based structured sparse representation object tracking algorithm.Firstly,in the first frame,a sparse dictionary is obtained,which contains target and background templates,as well as positive and negative sam-ples.Secondly,all samples are linearly combined based on the idea of structured sparse representation,hence the coding coefficients can be gotten.Thirdly,a kind of Bayes classifier is designed,which is trained by the coding coefficients of positive and negative samples.The classifier is able to detect the candidate target and obtain the likelihood information of them.Fourthly,the dictionary is updated by combining incremental subspace learning and sparse representation method together.Finally,the proposed tracker performs favorably against 4state-of-the-art trackers on 6challenging video sequences.
Key words:object tracking;particle filter;sparse representation;dictionary;Bayes classification
摘要：为提高目标跟踪算法在复杂条件下的鲁棒性和准确性，研究了一种基于贝叶斯分类的结构稀疏表示*The National High Technology Research and Development Program of China Grant No.2015AA043005(国家高技术研究发展计划(863计划)).
Received 2015-10,Accepted 2015-12.
CNKI 网络优先出版:2015-12-18,https://www.doczj.com/doc/ad12605131.html,/kcms/detail/11.5602.TP.20151218.1038.002.html ISSN 1673-9418CODEN JKYTA8
Journal of Frontiers of Computer Science and Technology
1673-9418/2016/10(07)-1035-09
doi:10.3778/j.issn.1673-9418.1511060E-mail:fcst@https://www.doczj.com/doc/ad12605131.html, https://www.doczj.com/doc/ad12605131.html, Tel:+86-10-89056056