参考文献/References:
[1] 龚声蓉,刘纯平,季怡.复杂场景下图像与视频分析[M].北京:人民邮电出版社,2013:8-9.
[2] KALAL Z,MIKOLAJCZYK K,MATAS J.Tracking-learning-detection[J].Pattern Analysis and Machine Intelligence,2012,34(7):1409-1422.
[3] STALDER S,GRABNER H,GOOL L V.Cascaded confidence filtering for improved tracking-by-detection[M].Berlin:Springer,2010:369-382.
[4] GRABNER H,GRABNER M,BISCHOF H.Real-time tracking via on-line boosting[C]//British Machine Vision Conference.Edinburgh:[s.n.],2006:6.
[5] FELZENSZWALB P,MCALLESTER D,RAMANAN D.A discriminatively trained, multiscale, deformable part model[C]//IEEE Conference on Computer Vision and Pattern Recognition.Anchorage:IEEE Press,2008:1-8.
[6] ZHANG Kaihua,ZHANG Lei,YANG M H.Real-time compressivetracking[C]//Europeanence on Computer Vision.Berlin:Springer,2012:864-877.
[7] SAINI S,AWANG R D R,ZAKARIA M N B,et al.A review on particle swarm optimization algorithm and its variants to human motion tracking[J].Mathematical Problems in Engineering,2014(2014):1-16.
[8] ZHANG Xiaoqin, HU Weiming, MAYBANK S, et al. Sequential particle swarm optimization for visual tracking[C]//IEEE Conference on Computer Vision and Pattern Recognition.Anchorage:IEEE Press,2008:921-928.
[9] FLEISCHMANN P,AUSTVOLL I,KWOLEK B.Particle swarm optimization with soft search space partitioning for video-based markerless pose tracking[J].Lecture Notes in Computer Science,2012,7517:479-490.
[10] BARANIUK R.Compressive sensing[J].IEEE signal processing magazine,2007,24(4):118-121.
[11] THIDA M,ENG H,MONEKOSSO D N,et al.A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets[J].Applied Soft Computing,2013,13(6):3106-3117.
[12] TAWAB A M A,ABDELHALIM M B,HABIB S.Efficient multi-feature PSO for fast gray level object-tracking[J].Applied Soft Computing,2014,14(1):317-337.
[13] WU Yi,LIM J,YANG M H.Online object tracking: A benchmark[C]//IEEE Conference on Computer vision and pattern recognition.Portland:IEEE Press,2013:2411-2418.
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