Electronics Optics & Control, Volume. 26, Issue 4, 11(2019)
A Visual Tracking Algorithm Based on Sparse Representation Under Illumination Changes
[1] [1] FRADI H,LUVISON B,PHAM Q C.Crowd behavior analysis using local mid-level visual descriptors[J].IEEE Transactions on Circuits and Systems for Video Technology, 2017,27(3):589-602.
[2] [2] YU G,LI C,SHANG Z.Video monitoring method,video monitoring system and computer program product[P].United States Patent 9792505,2017-10-17.
[3] [3] UENG S K,CHEN G Z.Vision based multi-user human computer interaction[J].Multimedia Tools and Applications,2016,75(16):10059-10076.
[4] [4] WU Y,LIM J,YANG M H.Object tracking benchmark[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(9):1834-1848.
[5] [5] PAN Z,LIU S,FU W N.A review of visual moving target tracking[J].Multimedia Tools and Applications,2017,76(16):16989-17018.
[6] [6] JENKINS M D,BARRIE P,BUGGY T,et al.Selective sampling importance resampling particle filter tracking with multibag subspace restoration[J].IEEE Transactions on Cybernetics,2018,48(1):264-276.
[7] [7] WANG Y R,TANG X L,CUI Q.Dynamic appearance model for particle filter based visual tracking[J].Pattern Recognition,2012,45(12):4510-4523.
[8] [8] NHAT V Q,LEE G.Illumination invariant object tracking with adaptive sparse representation[J].International Journal of Control,Automation and Systems,2014,12(1):195-201.
[9] [9] DELAIL B A,BHASKAR H,ZEMERLY J,et al.Robust likelihood model for illumination invariance in particle filtering[J].IEEE Transactions on Circuits and Systems for Video Technology,2017.doi:10.1109/TCSVT.2017.2725322.
[10] [10] BAO C L,WU Y,LING H B,et al.Real time robust L1 tracker using accelerated proximal gradient approach[C]//Proceedings of IEEE Computer Society Confe-rence on Computer Vision and Pattern Recognition,2012:1830-1837.
[11] [11] MA B,SHEN J B,LIU Y B,et al.Visual tracking using strong classifier and structural local sparse descriptors[J].IEEE Transactions on Multimedia,2015,17(10):1818-1828.
[12] [12] ZHUANG B H,LU H C,XIAO Z Y,et al.Visual tracking via discriminative sparse similarity map[J].IEEE Transactions on Image Processing,2014,23(4):1872-1881.
[13] [13] ZHANG T Z,GHANEM B,LIU S,et al.Robust visual tracking via multi-task sparse learning[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2012:2042-2049.
[14] [14] ROSS D A,LIM J,LIN R S,et al.Incremental learning for robust visual tracking[J].International Journal of Computer Vision,2008,77(1):125-141.
[15] [15] POLSON N,SOKOLOV V.Bayesian particle tracking of traffic flows[J].IEEE Transactions on Intelligent Transportation Systems,2018,19(2):345-356.
[16] [16] HE Z Y,YI S Y,CHEUNG Y M,et al.Robust object tracking via key patch sparse representation[J].IEEE Transactions on Cybernetics,2017,47(2):354-364.
[17] [17] ZHANG K H,ZHANG L,YANG M H.Real-time compressive tracking[C]//European Conference on Computer Vision,2012:864-877.
[18] [18] HENRIQUES J F,CASEIRO R,MARTINS P,et al.Exploiting the circulant structure of tracking-by-detection with kernels[C]//European Conference on Computer Vision,2012:702-715.
[19] [19] HARE S,SAFFARI A,TORR P H.Struck:structured output tracking with kernels[C]//Proceedings of IEEE International Conference on Computer Vision,2011:263-270.
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QIU He-lei, WANG Hong-yan, PEI Bing-nan. A Visual Tracking Algorithm Based on Sparse Representation Under Illumination Changes[J]. Electronics Optics & Control, 2019, 26(4): 11
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Received: May. 16, 2018
Accepted: --
Published Online: May. 5, 2019
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