光电工程, 2016, 43 (12): 85, 网络出版: 2016-12-30  

局部自适应加权的逆结构稀疏表示跟踪算法

Local Adaptive Weighted Tracking Via Inverse Structure Sparse Representation
作者单位
江南大学 物联网工程学院,江苏 无锡 214122
引用该论文

吉训生, 陈赛, 王荣飞. 局部自适应加权的逆结构稀疏表示跟踪算法[J]. 光电工程, 2016, 43(12): 85.

JI Xunsheng, CHEN Sai, WANG Rongfei. Local Adaptive Weighted Tracking Via Inverse Structure Sparse Representation[J]. Opto-Electronic Engineering, 2016, 43(12): 85.

参考文献

[1] WU YI,LIM Jongwoo,YANG Ming-Hsuan. Online object tracking:A benchmark [C]// Proceedings of IEEE Conference onComputer Vision and Pattern Recognition(CVPR),Portland,USA,June 23-28,2013:2411–2418.

[2] Doucet A,de Freitas N,Gordon N. Sequential Monte Carlo Methods In Practice [M]. New York,Springe,2001.

[3] Bradski G R. Real time face and object tracking as a component of a perceptual user interface [C]// Workshop on Applicationsof Computer Vision,Princeton,USA,Oct 19-21,1998:214-219.

[4] YANG Fan,LU Huchuan,YANG Ming-Hsuan. Robust superpixel tracking [J]. IEEE Transactions on Image Processing(S1057-7149),2014,23(4):1639-1651.

[5] HOANG Vandung,Le Myha,Jo Kanghyun. Hybrid cascade boosting machine using variant scale blocks based HOG featuresfor pedestrian detection [J]. Neurocomputing(S0925-2312),2014,135(8):357-366.

[6] 侯跃恩,李伟光,容爱琼,等. 融合背景信息的分块稀疏表示跟踪算法 [J]. 华南理工大学报(自然科学版),2013,41(8):21-27.

    HOU Yue en,LI Weiguang,RONG Aiqiong,et al. Tracking Algorithm of Block Sparse Representation with BackgroundInformation [J]. Journal of South China University of Technology(Natural Science Edition),2013,41(8):21-27.

[7] JIA Xu,LU Huchuan,YANG Minghsuan. Visual tracking via adaptive structural local sparse appearance model [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR),USA,June 16-21,2012:1822–1829.

[8] MEI Xue,LING Haibin. Robust visual tracking using l1 minimization [C]// IEEE International Conference on ComputerVision (ICCV),Kyoto,Japan,Sept. 29-Oct. 2,2009:1436–1443.

[9] BAO Chenglong,WU Yi,LING Haibin,et al. Real time robust L1 tracker using accelerated proximal gradient approach [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR),USA,June 16-21,2012:1830–1837.

[10] WANG Dong,LU Huchuan,YANG Ming-Hsuan. Least soft-threshold squares tracking [C]// Proceedings of IEEE Conferenceon Computer Vision and Pattern Recognition(CVPR),Portland,USA,June 23-28,2013:2371-2378.

[11] Freund Yoav,Schapire Robert E. A desicion-theoretic generalization of on-line learning and an application to boosting [M]Computational Learning Theory:Springer Berlin Heidelberg,1995:23-37.

[12] LIM Jongwoo,ROSS David,LIN Ruci-Sung,et al. Incremental learning for robust visual tracking [J]. International Journalof Computer Vision(S0920-5691),2008,77(1):125–141.

[13] ZHANG Kaihua,ZHANG Lei,YANG Ming-Hsuan. Real-time object tracking via online discriminative feature selection [J].IEEE Transactions on Image Processing(S1057-7149),2013,22(12):4664-4677.

[14] WebLink. SPAMS: http://www.di.ens.fr/willow/ SPAMS/downloads.html, 2015, October.

吉训生, 陈赛, 王荣飞. 局部自适应加权的逆结构稀疏表示跟踪算法[J]. 光电工程, 2016, 43(12): 85. JI Xunsheng, CHEN Sai, WANG Rongfei. Local Adaptive Weighted Tracking Via Inverse Structure Sparse Representation[J]. Opto-Electronic Engineering, 2016, 43(12): 85.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!