Gritai A, Sheikh Y, Shah M. On the use of anthropometry in the invariant analysis of human actions. In: Proceedings of the 17th International Conference on Pattern Recognition. Washington, DC: IEEE Computer Society, 2004. 923-926
[2]
Bhuyan M K. FSM-based recognition of dynamic hand gestures via gesture summarization using key video object planes. International Journal of Computer and Communication Engineering, 2012, 1(6): 248-259
[3]
Tuytelaars T, Mikolajczyk K. Local invariant feature detectors: a survey. Foundations and Trends in Computer Graphics and Vision, 2008, 3(3): 177-280
[4]
Zitová
[5]
Lowe D G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 2004, 60(2): 91-110
[6]
Rosten E, Porter R, Drummond T. Faster and better: a machine learning approach to corner detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1): 105-119
[7]
Dunham J G. Optimum uniform piecewise linear approximation of planar curves. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(1): 67-75
[8]
Yamato J, Ohya J, Ishii K. Recognizing human action in time-sequential images using hidden Markov model. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Champaign, IL: IEEE, 1992. 379-385
[9]
Brand M, Oliver N, Pentland A. Coupled hidden Markov models for complex action recognition. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Juan: IEEE, 1997. 994-999
[10]
Galata A, Johnson N, Hogg D. Learning variable-length Markov models of behavior. Computer Vision and Image Understanding, 2001, 81(3): 398-413
[11]
Luo Y, Wu T D, Hwang J N. Object-based analysis and interpretation of human motion in sports video sequences by dynamic Bayesian networks. Computer Vision and image Understanding, 2003, 92(2-3): 196-216
[12]
Du You-Tian, Chen Feng, Xu Wen-Li. Approach to human activity multi-scale analysis and recognition based on multi-layer dynamic bayesian network. Acta Automatica Sinica, 2009, 35(3): 225-232(杜友田, 陈峰, 徐文立. 基于多层动态贝叶斯网络的人的行为多尺度分析及识别方法.
[13]
Webb J A, Aggarwal J K. Structure from motion of rigid and jointed objects. Artificial Intelligence, 1982, 19(1): 107-130
[14]
Gavrila D M, Davis L S. 3-D model-based tracking of humans in action: a multi-view approach. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco: IEEE, 1996. 73-80
[15]
Bar-Shalom Y. Tracking and Data Association. San Diego, CA: Academic Press Professional, Inc., 1987
[16]
Arulampalam M S, Maskell S, Gordon N, Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 2002, 50(2): 174-188
[17]
Kehl R, Bray M, Van Gool L. Full body tracking from multiple views using stochastic sampling. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, CA: IEEE, 2005. 129-136
[18]
Johansson G. Visual motion perception. Scientific American, 1975, 232(6): 76-88
[19]
Gu Jun-Xia, Ding Xiao-Qing, Wang Sheng-Jin. Human 3D model-based 2D action recognition. Acta Automatica Sinica, 2010, 36(1): 46-53(谷军霞, 丁晓青, 王生进. 基于人体行为3D模型的2D行为识别. 自动化学报, 2010, 36(1): 46-53)
[20]
Lv F, Nevatia R. Single view human action recognition using key pose matching and viterbi path searching. In: Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, MN: IEEE, 2007. 1-8
[21]
Rosten E, Drummond T. Fusing points and lines for high performance tracking. In: Proceedings of the IEEE International Conference on Computer Vision. Beijing: IEEE, 2005. 1508-1515
[22]
B, Flusser J. Image registration methods: a survey. Image and Vision Computing, 2003, 21(11): 977-1000
[23]
Gu Jun-Xia, Ding Xiao-Qing, Wang Sheng-Jin. A survey of activity analysis algorithms. Journal of Image and Graphics, 2009, 14(3): 377-387(谷军霞, 丁晓青, 王生进. 行为分析算法综述. 中国图象图形学报, 2009, 14(3): 377-387)
[24]
Ji X F, Liu H H. Advances in view-invariant human motion analysis: a review. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 2010, 40(1): 13-24
[25]
Parameswaran V, Chellappa R. View invariance for human action recognition. International Journal of Computer Vision, 2006, 66(1): 83-101
[26]
Weinland D, Ronfard R, Boyer E. Free viewpoint action recognition using motion history volumes. Computer Vision and Image Understanding, 2006, 104(2-3): 249-257
[27]
自动化学报, 2009, 35(3): 225-232)
[28]
Bobick A F, Davis J W. The recognition of human movement using temporal templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(3): 257-267
[29]
Yilmaz A, Shah M. Actions sketch: a novel action representation. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, CA, USA: IEEE, 2005. 984-989
[30]
Perez J C, Vidal E. Optimum polygonal approximation of digitized curves. Pattern Recognition Letters, 1994, 15(8): 743-750
[31]
Kass M, Witkin A, Terzopoulos D. Snakes: active contour models. International Journal of Computer Vision, 1988, 1(4): 321-331
