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Volumn 39, Issue 7, 2016, Pages 1419-1434

Robust visual tracking method via deep learning

Author keywords

Computer vision; Convolutional neuron networks; Deep learning; L1 tracker; Robust; Visual tracking

Indexed keywords

COMPUTER VISION; NEURAL NETWORKS; TRACKING (POSITION);

EID: 84979270710     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: 10.11897/SP.J.1016.2016.01419     Document Type: Article
Times cited : (14)

References (45)
  • 2
    • 84934756930 scopus 로고    scopus 로고
    • Intelligent visual surveillance: A review
    • (in Chinese)
    • Huang Kai-Qi, Chen Xiao-Tang, Kang Yun-Feng, et al. Intelligent visual surveillance: A review. Chinese Journal of Computers, 2015, 38(6): 1093-1118(in Chinese)
    • (2015) Chinese Journal of Computers , vol.38 , Issue.6 , pp. 1093-1118
    • Huang, K.-Q.1    Chen, X.-T.2    Kang, Y.-F.3
  • 7
    • 84866615156 scopus 로고    scopus 로고
    • Adaptive appearance modeling for video tracking: Survey and evaluation
    • Salti S, Cavallaro A, Di Stefano L. Adaptive appearance modeling for video tracking: Survey and evaluation. IEEE Transactions on Image Processing, 2012, 21(10): 4334-4348
    • (2012) IEEE Transactions on Image Processing , vol.21 , Issue.10 , pp. 4334-4348
    • Salti, S.1    Cavallaro, A.2    Di Stefano, L.3
  • 10
    • 67649583790 scopus 로고    scopus 로고
    • Human tracking in infrared images based on particles Mean-Shift migration algorithm
    • (in Chinese)
    • Yun Ting-Jin, Guo Yong-Cai, Gao Chao. Human tracking in infrared images based on particles Mean-Shift migration algorithm. Chinese Journal of Computers, 2009, 32(6): 1222-1228(in Chinese)
    • (2009) Chinese Journal of Computers , vol.32 , Issue.6 , pp. 1222-1228
    • Yun, T.-J.1    Guo, Y.-C.2    Gao, C.3
  • 15
    • 28444480859 scopus 로고    scopus 로고
    • Face contour extraction and tracking using Level Sets
    • (in Chinese)
    • Huang Fu-Zhen, Su Jian-Bo. Face contour extraction and tracking using Level Sets. Chinese Journal of Computers, 2003, 26(4): 491-496(in Chinese)
    • (2003) Chinese Journal of Computers , vol.26 , Issue.4 , pp. 491-496
    • Huang, F.-Z.1    Su, J.-B.2
  • 21
    • 80054005322 scopus 로고    scopus 로고
    • Tracking video object based on central macroblocks
    • (in Chinese)
    • Xiao Guo-Qiang, Kang Qin, Jiang Jian-Min, et al. Tracking video object based on central macroblocks. Chinese Journal of Computers, 2011, 34(9): 1712-1718(in Chinese)
    • (2011) Chinese Journal of Computers , vol.34 , Issue.9 , pp. 1712-1718
    • Xiao, G.-Q.1    Kang, Q.2    Jiang, J.-M.3
  • 24
    • 84873114012 scopus 로고    scopus 로고
    • Robust visual tracking via structured multi-task sparse learning
    • Zhang T, Ghanem B, Liu S, et al. Robust visual tracking via structured multi-task sparse learning. International Journal of Computer Vision, 2013, 101(2): 367-383
    • (2013) International Journal of Computer Vision , vol.101 , Issue.2 , pp. 367-383
    • Zhang, T.1    Ghanem, B.2    Liu, S.3
  • 25
    • 84922000600 scopus 로고    scopus 로고
    • Robust visual tracking via consistent low-rank sparse learning
    • Zhang T, Liu S, Ahuja N, et al. Robust visual tracking via consistent low-rank sparse learning. International Journal of Computer Vision, 2014, 111(2): 171-190
    • (2014) International Journal of Computer Vision , vol.111 , Issue.2 , pp. 171-190
    • Zhang, T.1    Liu, S.2    Ahuja, N.3
  • 26
    • 84979256300 scopus 로고    scopus 로고
    • Tracking by auto-reconstructing particle filter trackers
    • (in Chinese)
    • Wang Yu-Xia, Zhao Qing-Jie, Cai Yi-Ming, et al. Tracking by auto-reconstructing particle filter trackers. Chinese Journal of Computers, 2016, 39(7): 1294-1306(in Chinese)
    • (2016) Chinese Journal of Computers , vol.39 , Issue.7 , pp. 1294-1306
    • Wang, Y.-X.1    Zhao, Q.-J.2    Cai, Y.-M.3
  • 28
    • 77957774108 scopus 로고    scopus 로고
    • Human tracking using convolutional neural networks
    • Fan J, Xu W, Wu Y, et al. Human tracking using convolutional neural networks. IEEE Transactions on Neural Networks, 2010, 21(10): 1610-1623
    • (2010) IEEE Transactions on Neural Networks , vol.21 , Issue.10 , pp. 1610-1623
    • Fan, J.1    Xu, W.2    Wu, Y.3
  • 31
    • 84945159973 scopus 로고    scopus 로고
    • DeepTrack: Learning discriminative feature representations online for robust visual tracking
    • arXiv preprint arXiv:150300072
    • Li H, Li Y, Porikli F. DeepTrack: Learning discriminative feature representations online for robust visual tracking. arXiv preprint arXiv:150300072, 2015
    • (2015)
    • Li, H.1    Li, Y.2    Porikli, F.3
  • 32
    • 85088746113 scopus 로고    scopus 로고
    • DeepTrack: Learning discriminative feature representations by convolutional neural networks for visual tracking
    • Nottingham, England
    • Li H, Li Y, Porikli F. DeepTrack: Learning discriminative feature representations by convolutional neural networks for visual tracking//Proceedings of the British Machine Vision Conference. Nottingham, England, 2014: 1-11
    • (2014) Proceedings of the British Machine Vision Conference , pp. 1-11
    • Li, H.1    Li, Y.2    Porikli, F.3
  • 33
    • 84948743135 scopus 로고    scopus 로고
    • Online tracking by learning discriminative saliency map with convolutional neural network
    • arXiv preprint arXiv:150206796
    • Hong S, You T, Kwak S, et al. Online tracking by learning discriminative saliency map with convolutional neural network. arXiv preprint arXiv:150206796, 2015
    • (2015)
    • Hong, S.1    You, T.2    Kwak, S.3
  • 34
    • 84945961638 scopus 로고    scopus 로고
    • Transferring rich feature hierarchies for robust visual tracking
    • arXiv preprint arXiv:150104587
    • Wang N, Li S, Gupta A, et al. Transferring rich feature hierarchies for robust visual tracking. arXiv preprint arXiv:150104587, 2015
    • (2015)
    • Wang, N.1    Li, S.2    Gupta, A.3
  • 35
    • 84950121900 scopus 로고    scopus 로고
    • CNNTracker: Online discriminative object tracking via deep convolutional neural network
    • Chen Y, Yang X, Zhong B, et al. CNNTracker: Online discriminative object tracking via deep convolutional neural network. Applied Soft Computing, 2015, 38(6): 1088-1098
    • (2015) Applied Soft Computing , vol.38 , Issue.6 , pp. 1088-1098
    • Chen, Y.1    Yang, X.2    Zhong, B.3
  • 36
    • 84944673229 scopus 로고    scopus 로고
    • Visual tracking based on convolutional deep belief network
    • Chen Yunji, Ienne P, Ji Qing eds. Springer International Publishing
    • Hu D, Zhou X, Wu J. Visual tracking based on convolutional deep belief network//Chen Yunji, Ienne P, Ji Qing eds. Advanced Parallel Processing Technologies. Springer International Publishing, 2015: 103-115
    • (2015) Advanced Parallel Processing Technologies , pp. 103-115
    • Hu, D.1    Zhou, X.2    Wu, J.3
  • 37
    • 84943556337 scopus 로고    scopus 로고
    • Robust tracking via convolutional networks without learning
    • arXiv preprint arXiv:150104505
    • Zhang K, Liu Q, Wu Y, et al. Robust tracking via convolutional networks without learning. arXiv preprint arXiv:150104505, 2015
    • (2015)
    • Zhang, K.1    Liu, Q.2    Wu, Y.3
  • 38
    • 84931572897 scopus 로고    scopus 로고
    • Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
    • Kuen J, Lim K M, Lee C P. Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle. Pattern Recognition, 2015, 48(10): 2964-2982
    • (2015) Pattern Recognition , vol.48 , Issue.10 , pp. 2964-2982
    • Kuen, J.1    Lim, K.M.2    Lee, C.P.3
  • 41
    • 23044533906 scopus 로고    scopus 로고
    • On the role of object-specific features for real world object recognition in biological vision
    • Tübingen, Germany
    • Serre T, Riesenhuber M, Louie J, et al. On the role of object-specific features for real world object recognition in biological vision//Proceedings of the Biologically Motivated Computer Vision. Tübingen, Germany, 2002: 387-397
    • (2002) Proceedings of the Biologically Motivated Computer Vision , pp. 387-397
    • Serre, T.1    Riesenhuber, M.2    Louie, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.