[1] 胡琼,秦磊,黄庆明.基于视觉的人体动作识别综述[J].计算机学报,2013,36(12):2512-2524.(HU Q, QIN L, HUANG Q M. A survey on visual human action recognition[J]. Chinese Journal of Computers, 2013, 36(12): 2512-2524.) [2] 徐光祐,曹媛媛.动作识别与行为理解综述[J].中国图象图形学报,2009,14(2):189-195.(XU G Y, CAO Y Y. Action recognition and activity understanding: a review[J]. Journal of Image and Graphics, 2009, 14(2): 189-195.) [3] MANINIS K, KOUTRAS P, MARAGOS P, et al. Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies[C]//ICIP 2014: Proceedings of the 2014 IEEE International Conference on Image Processing. Piscataway, NJ: IEEE, 2014: 1490-1494. [4] DALAL N, TRIGGS B. Silhouette analysis-based action recognition via exploiting human poses[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(2): 236-243. [5] SHOTTON J, FITZGIBBON A, COOK M, et al. Real-time human pose recognition in parts from single depth images[C]//ICML 2013: Proceedings of the 2013 ACM International Conference on Machine Learning for Computer Vision. New York: ACM, 2013: 116-124. [6] OREIFE O, LIU Z. HON4D: histogram of oriented 4D normals for activity recognition from depth sequences[C]//CVPR 2013: Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE, 2013: 716-723. [7] YANG X, TIAN Y. Super normal vector for activity recognition using depth sequences[C]//CVPR 2014: Proceedings of 2014 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE, 2014: 804-811. [8] YANG X, TIAN Y. Recognizing actions using depth motion maps based histograms of oriented gradients[C]//ICML 2012: Proceedings of 2012 ACM International Conference on Machine Learning for Computer Vision. New York: ACM, 2012: 1057-1060. [9] LI W, ZHANG Z, LIU Z. Action recognition based on a bag of 3D points[C]//CVPR 2010: Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE, 2010: 9-14. [10] WANG J, LIU P, NAHAVANDI S, et al. Human action recognition based on pyramid histogram of oriented gradients[C]//SMC 2011: Proceedings of 2011 IEEE International Conference on Systems, Man, and Cybernetics. Piscataway, NJ: IEEE, 2011: 2449-2454. [11] LIANG B, ZHENG L. 3D motion trail model based pyramid histograms of oriented gradient for action recognition[C]//ICPR 2014: Proceedings of 2014 IEEE International Conference on Pattern Recognition. Piscataway, NJ: IEEE, 2014: 1952-1957. [12] 王鑫,沃波海,管秋,等.基于流形学习的人体动作识别[J].中国图象图形学报,2014,19(6):914-923.(WANG X, WO B H, GUAN Q,et al. Human action recognition based on manifold learning[J]. Journal of Image and Graphics, 2014, 19(6): 914-923.) [13] BURGES C. A tutorial on support vector machines for pattern recognition[J]. Data Mining and Knowledge Discovery, 1998, 2(2): 121-167. [14] CHANG C, LIN C. LIBSVM: a library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3): Article No. 27. [15] XIA L, CHEN C, AGGARWAL J. View invariant human action recognition using histograms of 3D joints[C]//CVPRW 2012: Proceedings of 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshop. Piscataway, NJ: IEEE, 2012: 20-27. [16] YANG X, TIAN Y. Eigenjoints-based action recognition using naive-Bayes-nearest-neighbor[C]//CVPRW 2012: Proceedings of 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshop. Piscataway, NJ: IEEE, 2012: 14-19. [17] VIEIRA A, NASCIMENTO E, OLIVEIRA G, et al. STOP: space-time occupancy patterns for 3D action recognition from depth map sequences[C]//CIARP 2012: Proceedings of 2012 International Conference on Pattern Recognition, Image Analysis, Computer Vision, and Applications. Berlin: Springer, 2012: 252-259. [18] WANG J, LIU Z, CHOROWSKI J, et al. Robust 3D action recognition with random occupancy patterns[C]//ECCV 2012: Proceedings of 2012 IEEE Computer Society Conference on European Conference on Computer Vision. Piscataway, NJ: IEEE, 2012: 872-885. (上接第573页) [19] ZANFIR M, LEORDEANU M, SMINCHISECU C. The moving pose: an efficient 3D kinematics descriptor for low-latency action recognition and detection[C]//ICCV 2013: Proceedings of the 2013 IEEE Computer Society Conference on International Conference on Computer Vision. Piscataway, NJ: IEEE, 2013: 2752-2759. [20] KURAKIN A, ZHANG Z, LIU Z. A real-time system for dynamic hand gesture recognition with a depth sensor[C]//ESPC 2012: Proceedings of the 2012 IEEE Conference on European Signal Processing Conference. Piscataway, NJ: IEEE, 2012: 1975-1979. |