[1]郭利,曹江涛,李平,等.累积方向-数量级光流梯度直方图的人体动作识别[J].智能系统学报,2014,9(1):104-108.[doi:10.3969/j.issn.1673-4785.201305001]
 GUO Li,CAO Jiangtao,LI Ping,et al.Human action recognition based on accumulated orientation-magnitude histograms of optical flow[J].CAAI Transactions on Intelligent Systems,2014,9(1):104-108.[doi:10.3969/j.issn.1673-4785.201305001]
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累积方向-数量级光流梯度直方图的人体动作识别

参考文献/References:
[1] BLANK M, GORELICK L, SHECHTMAN E, et al. Actions as space-time shapes[C]//Proceedings of the International Conference on Computer Vision. Beijing, China, 2005: 1395-1402.
[2] GORELICK L, BLANK M, SHECHTMAN E, et al. Actions as space-time shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(12): 2247-2253.
[3] YILMAZ A, SHAH M. A differential geometric approach to representing the human actions[J]. Computer Vision and Image Understanding, 2008, 119(3): 335-351.
[4] LAPTEV I, LINDEBERG T. Space-time interest points[C]//Proceedings of the International Conference on Computer Vision. Nice, France, 2003: 432-439.
[5] LAPTEV I, CAPUTO B, SCHVLDT C, et al. Local velocity-adapted motion events for spatio-temporal recognition[J]. Computer Vision and Image Understanding, 2007, 108(3): 207-229.
[6] OIKONOMOPOULOS A, PATRAS I, PANTIC M. Spatiotemporal salient points for visual recognition of human actions[J]. IEEE Transactions on Systems Man and Cybernetics-Part B: Cybernetics, 2006, 36(3): 710-719.
[7] DANAFAR S, GHEISSARI N. Action recognition for surveillance applications using optic flow and SVM[C]//Proceedings of the Asian Conference on Computer Vision. Tokyo, Japan, 2007: 457-466.
[8] TRAN D, SOROKIN A. Human activity recognition with metric learning[C]//Proceedings of the European Conference on Computer Vision. Marseille, France, 2008: 61-66.
[9] ZHANG Ziming, HU Yiqun, CHAN Syin, et al. Motion context: a new representation for human action recognition[C]//Proceedings of the European Conference on Computer Vision. Marseille, France, 2008: 817-829.
[10] FAN Rongen, CHEN Paihsuen, LIN Chihjen. Working set selection using second order information for training SVM[J]. Journal of Machine Learning Research, 2005, 6: 1889-1918.
[11] LIU Jingen, LUO Jiebo, SHAN M. Recognizing realistic actions from videos "in the wild"[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA, 2009: 1996-2003.
[12] QIN Yaohui, LI Hongliang, LIU Guanghui, et al. Human action recognition using PEM histogram[C]//IEEE International Conference on Computational Problem Solving. Singapore, 2010: 323-325.

备注/Memo

收稿日期:2013-05-02。
基金项目:国家自然科学青年基金资助项目(61103123).
作者简介:郭利,女,1987年生,硕士研究生,主要研究方向为模式识别、图像处理;李平,男,1964年生,教授、博士生导师,IEEE高级会员,中国自动化学会过程控制专业委员会委员,主要研究方向为工业过程的先进控制理论及其应用。承担国家"863"计划项目、国家自然科学基金等项目多项,发表学术论文100余篇,其中被SCI、EI检索50余篇。

通讯作者:曹江涛,男,1978年生,教授、博士,中国自动化学会机器人专业委员会委员和青工委委员,主要研究方向为智能方法及其在工业控制和视频信息处理上的应用。承担国家自然科学基金等项目多项,发表学术论文40余篇,其中被SCI检索6篇、EI检索22篇.E-mail:jiangtao.cao08@gmail.com.

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