Real-time tracking using multiple features based on compressive sensing

[2] [2] ORON S, AHARON B H, LEVI D, et al.. Locally orderless tracking ［C］. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2012.

[3] [3] KWON J, LEE K M. Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive basin hopping Monte Carlo sampling ［C］. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2009,1208-1215.

[4] [4] KALAL Z, MATAS J, MIKOLAJCZYK K. Online learning of robust object detectors during unstable tracking ［C］. Computer Vision Workshops (ICCV Workshops), 2009: 1417-1424.

[5] [5] GRABNER H, GRABNER M, BISCHOF H. Real time tracking via on-line boosting ［C］. Proceedings of British Machine Vision Conference, 2006, 1:47-56.

[6] [6] CHENG Y L,LI B, ZHANG W C,et al.. An adaptive pedestrian tracking algorithm with prior knowledge ［J］. Pattern Recognition and Artificial Intelligence, 2009, 22(5): 704-708.(in Chinese)

[7] [7] ADAM A, RIVLIN E, SHIMSHON L. Robust fragments -based tracking using the integral histogram ［C］. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2006:798-805.

[8] [8] NEJHUM S M S, HO J, YANG M H. Visual tracking with histograms and articulating blocks ［C］. Computer Vision and Pattern Recognition, IEEE Computer Society Conference, 2008:1-8.

[9] [9] YANG J CH, YU K, HUANG T. Supervised Translation-Invariant sparse coding ［C］. Computer Vision and Pattern Recognition (CVPR), 2010:3517-3524.

[10] [10] LI H X, SHEN CH H. Real-time visual tracking using compressive sensing ［C］. Computer Vision and Pattern Recognition (CVPR), 2011:1305-1312.

[11] [11] ZHANG K H, ZHANG L, YANG M H. Real-time compressive tracking ［C］. European Conference on Computer Vision, 2012.

[12] [12] DONOHO D L. Compressed sensing ［J］. Information Theory, 2006, 52(4): 1289-1306.

[13] [13] VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features ［C］. Computer Vision and Pattern Recognition (CVPR), 2001,1: 511-518.

[14] [14] COLLINSR, YANX L, LEORDEANU M. Online selection of discriminative tracking features ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10):1631-1643.

[15] [15] YAN J,WU M Y. On-line boosting based target tracking under occlusion ［J］.Opt. Precision Eng., 2012,20(2):439-446.(in Chinese)

CLP Journals

[1] SUN Xiao-yan, CHANG Fa-liang. Object tracking based on sparse representation of gradient feature[J]. Optics and Precision Engineering, 2013, 21(12): 3191

[2] MAO Zheng, YUAN Jian-jian, WU Zhen-rong, QU Jin-song, LI Hong-yan. Real-time compressive tracking based on online feature selection[J]. Optics and Precision Engineering, 2014, 22(3): 730

[3] ZHANG Lei, WANG Yan-jie, HE Shu-wen. Real-time Compressive Tracking Method Based on Phase Congruency[J]. Acta Photonica Sinica, 2014, 43(8): 810003

[4] Liu Wei, Zhao Wenjie, Li Cheng. An Online Learning Visual Tracking Method Based On Compressive Sensing[J]. Acta Optica Sinica, 2015, 35(9): 915001

[5] LIU Zhou-zhou, WANG Fu-bao. Multiple target localization in WSNs via CS reconstruction based on discrete GSO algorithm[J]. Optics and Precision Engineering, 2014, 22(7): 1904

[6] GUO Shu-xu, ZHANG Chi, CAO Jun-sheng, ZHONG Fei, GAO Feng-Li. Object reconstruction by compressive sensing based normalized ghost imaging[J]. Optics and Precision Engineering, 2015, 23(1): 288

[7] ZHANG Jie, SHI Xiao-ping. Astronomical image denoising with compressed sensing and curvelet[J]. Optics and Precision Engineering, 2017, 25(5): 1387

[8] ZHANG Lei, WANG Yan-jie, SUN Hong-hai, YAO Zhi-jun, WU Pei. Adaptive scale object tracking with kernelized correlation filters[J]. Optics and Precision Engineering, 2016, 24(2): 448

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ZHU Qiu-ping, Yan Jia, Zhang Hu, FAN Ci-en, DENG De-xiang. Real-time tracking using multiple features based on compressive sensing[J]. Optics and Precision Engineering, 2013, 21(2): 437

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