Yilmaz A, Javed O, Shah M. Object tracking: a survey[J]. ACM Computing Surveys, 2006, 38(4): 13.
[2]
Black M J, Jepson A D. Eigentracking: Robust matching and tracking of articulated objects using a view-based representation[J]. International Journal of computer vision, 1998, 26(1): 63-84.
[3]
Black M J, Fleet D J, Yacoob Y. A framework for modeling appearance change in image sequences[C]//Proceedings of Sixth International Conference on Computer Vision. Washington DC: IEEE, 1998: 660-667.
[4]
Shen H, Li S, Bo F, et al. On road vehicles real-time detection and tracking using vision based approach[J]. Acta Optica Sinica, 2010,30(1):1076-1083.[沈？,李舜酩,柏方超,等.路面车辆实时检测与跟踪的视觉方法[J].光学学报,2010,30(1):1076-1083.]
[5]
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. [程有龙,李斌,张文聪,等. 融合先验知识的自适应行人跟踪算法[J]. 模式识别与人工智能,2009,22(5):704-708.]
[6]
Mei X, Ling H. Robust visual tracking using ？ 1 minimization[C]//Proceedings of IEEE the 12th International Conference on Computer Vision. Washington DC:IEEE, 2009: 1436-1443.
[7]
Learned-Miller E G, Lara LS. Distribution fields for tracking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC:IEEE, 2012: 1910-1917.
[8]
Donoho D. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
[9]
Dai Q H, Fu C J, Ji X Y. Research on compressed sensing[J]. Chinese Journal of Computers, 2011,34(3):425-434.[戴琼海,付长军,季向阳. 压缩感知研究[J].计算机学报,2011,34(3):425-434.]
[10]
Ji S, Xue Y, Carin L. Bayesian compressive sensing[J]. IEEE Transactions on Signal Processing, 2008, 56(6): 2346-2356.
[11]
Do T T, Chen Y, Nguyen D T, et al. Distributed compressed video sensing[C]//Proceedings of the 16th IEEE International Conference on Image processing. Washington DC:IEEE, 2009: 1393-1396.
[12]
Jung H, Sung K, Nayak K S, et al. k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI[J]. Magnetic Resonance in Medicine, 2009, 61(1): 103-116.
[13]
Lu Y, Wu S J, Zhang H G, et al. Low complexity compressed sensing based Doppler high resolution algorithm[J]. Journal of Xidian University, 2011,38(2):82-87. [刘寅,吴顺君,张怀根,等. 一种快速的基于压缩感知的多普勒高分辨方法[J].西安电子科技大学学报, 2011,38(2):82-87.]
[14]
Yu H M, Fang G Y. Research on compressive sensing based 3D imaging method applied to ground penetrating radar[J]. Journal of Electronics & Information Technology, 2010,32(1):12-16. [余慧敏, 方广有. 压缩感知理论在探地雷达三维成像中的应用[J].电子与信息学报,2010,32(1):12-16.]
[15]
Li H, Shen C, Shi Q. Real-time visual tracking using compressive sensing[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC:IEEE, 2011: 1305-1312.
[16]
Zhang K, Zhang L, Yang M H. Real-time compressive tracking[C]//Computer Vision-ECCV 2012. Berlin Heidelberg: Springer, 2012, 7574: 864-877.
[17]
Levi K, Weiss Y. Learning object detection from a small number of examples: the importance of good features[C]//Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington DC:IEEE, 2004, 2: 53-60.
[18]
Jebara T, Jaakkola T. Feature selection and dualities in maximum entropy discrimination[C]//Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence. San Francisco: Morgan Kaufmann Publishers Inc., 2000: 291-300.
[19]
Zhu Y, Yu J X, Cheng H, et al. Graph classification: a diversified discriminative feature selection approach[C]//Proceedings of the 21st ACM International Conference on Information and Knowledge Management. New York: ACM, 2012: 205-214.
[20]
Yang Y, Shen H T, Ma Z, et al. L2,1-norm regularized discriminative feature selection for unsupervised learning[C]//Proceedings of the 22nd International Joint Conference on Artificial Intelligence-Volume. Menlo Park, Calif.: AAAI Press, 2011,2: 1589-1594.
[21]
更多...
[22]
Babenko B, Yang M H, Belongie S. Visual tracking with online multiple instance learning[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Washington DC:IEEE, 2009: 983-990.
[23]
Grabner H, Leistner C, Bischof H. Semi-supervised on-line boosting for robust tracking[C]//Computer Vision-ECCV, 2008. Berlin Heidelberg: Springer, 2008,5302: 234-247.
[24]
Zhang K, Song H. Real-time visual tracking via online weighted multiple instance learning[J]. Pattern Recognition, 2013, 46(1):397-411.
[25]
Lu H, Zhou Q, Wang D, et al. A co-training framework for visual tracking with multiple instance learning[C]//Proceedings of IEEE International Conference on Automatic Face & Gesture Recognition and Workshops. Washington DC:IEEE, 2011: 539-544.
