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基于改进动态纹理模型的人体运动分析

, PP. 267-272

Keywords: 人体运动分析,二值图像序列,二值动态纹理模型,张量子空间动态纹理模型

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Abstract:

人体运动分析是计算机视觉领域最活跃的研究课题之一。文中提出2种描述人体运动序列的改进动态纹理模型:二值动态纹理模型和张量子空间动态纹理模型。假设二值图像服从Bernoulli分布,二值动态纹理模型使用二值主成分分析来学习训练模型的参数。张量子空间动态纹理模型将图像看作张量,引入张量子空间分析的方法分别对其行向量和列向量进行降维,将其转化为低维灰度图像,然后用动态纹理模型描述灰度图像序列。在人体行为和步态数据库上的实验结果验证2种改进动态纹理模型的有效性。

References

[1]  Davis J W, Bobick A F. The Representation and Recognition of Action Using Temporal Templates. Technical Report, 402, Cambridge, USA: MIT Media Lab, 1997
[2]  Yamato J, Ohya J, Ishii K. Recognizing Human Action in Time-Sequential Images Using Hidden Markov Model // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Champaign, USA, 1992: 379-385
[3]  Bregler C. Learning and Recognizing Human Dynamics in Video Sequences // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. San Juan, Puerto Rico, 1997: 568-574
[4]  Johnson A Y, Bobick A F. A Multi-View Method for Gait Recognition Using Static Body Parameters // Proc of the 3rd International Conference on Audio-and Video-Based Biometric Person Authentication. Halmstad, Netherlands, 2001: 301-311
[5]  BenAbdelkader C, Cutler R, Davis L. Stride and Cadence as a Biometric in Automatic Person Identification and Verification // Proc of the IEEE International Conference on Automatic Face and Gesture Recognition. Washington, USA, 2002: 372-377
[6]  Lee L, Grimson W E L. Gait Analysis for Recognition and Classification // Proc of the 5th IEEE International Conference on Face and Gesture Recognition. Washington, USA, 2002: 148-155
[7]  Huang P S. Automatic Gait Recognition via Statistical Approaches for Extended Template Features. IEEE Trans on Systems, Man and Cybernetics, 2001, 31(5): 818-824
[8]  Liu Yanxi, Collins R, Tsin Y. Gait Sequence Analysis Using Frieze Patterns // Proc of the 7th European Conference on Computer Vision. Copenhagen, Denmark, 2002: 657-671
[9]  Phillips P J, Sarkar S, Robledo I, et al. Baseline Results for the Challenge Problem of Human ID Using Gait Analysis // Proc of the IEEE International Conference on Automatic Face and Gesture Recognition. Washington, USA, 2002: 137-143
[10]  Fujita K, Nayar S K. Recognition of Dynamic Textures Using Impulse Responses of State Variables // Proc of the 3rd International Workshop on Texture Analysis and Synthesis. Nice, France, 2003: 31-36
[11]  Liu Chebing, Lin R S, Ahuja N. Modeling Dynamic Textures Using Subspace Mixtures // Proc of the IEEE International Conference on Multimedia Expo. Amsterdam, Netherlands, 2005: 1378-1381
[12]  Chan A B, Vasconcelos N. Layered Dynamic Textures. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009, 31(10): 1862-1879
[13]  Doretto G, Chiuso A, Soatto S, et al. Dynamic Textures. Inrernational Journal of Computer Vision, 2003, 51(2): 91-109
[14]  Bissacco A, Chiuso A, Ma Y, et al. Recognition of Human Gaits // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Hawaii, USA, 2001, Ⅱ: 52-57
[15]  Bissacco A, Saisan P, Soatto S. Gait Recognition Using Dynamic Affine Invariants // Proc of the International Symposium on Mathematical Theory of Networks and Systems. Leuven, Belgium, 2004: 1-7
[16]  Wang Liang, Hu Weiming, Tan Tieniu. Recent Developments in Human Motion Analysis. Pattern Recognition, 2003, 36(3): 585-601
[17]  Wang Ling, Suter D. Visual Learning and Recognition of Sequential Data Manifolds with Applications to Human Movement Analysis. Computer Vision and Image Understanding , 2008, 110(2): 153-172
[18]  Polana R, Nelson R. Low Level Recognition of Human Motion // Proc of the IEEE Workshop on Motion of Non-Rigid and Articulated Objects. Austin, USA, 1994: 77-82
[19]  Bobick A, Davis J. Real-Time Recognition of Activity Using Temporal Templates // Proc of the IEEE Workshop on Applications of Computer Vision. Sarasota, USA, 1996: 39-42
[20]  Mazzaro C, Sznaier M, Camps O, et al. A Model (in)Validation Approach to Gait Recognition // Proc of the 1st International Symposium on 3D Data Processing Visualization and Transmission. Thessaloniki, Greece, 2002: 700-703
[21]  Schein A I, Popescul A, Ungar L, et al. A Generalized Linear Model for Principal Component Analysis of Binary Data // Proc of the 9th International Workshop on Artificial Intelligence and Statistics. Key West, USA, 2003: 14-21
[22]  He Xiaofei, Cai Deng, Niyogi P. Tensor Subspace Analysis // Proc of the 9th Annual Conference on Neural Information Processing Systems. Whistler, USA, 2005: 513-520
[23]  Chan A B, Vasconcelos N. Classifying Video with Kernel Dynamic Textures // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, USA, 2007: 1-6
[24]  de Cock K, de Moor B. Subspace Angles between Linear Stochastic Models // Proc of the 39th IEEE Conference on Decision and Control. Sydney, Australia, 2000: 1561-1566
[25]  Blank M, Gorelick L, Shechtman E, et al. Action as Space-Time Shapes // Proc of the International Conference on Computer Vision. Beijing, China, 2005, Ⅱ: 1395-1402
[26]  Gross R, Shi J. The CMU Motion of Body (MoBo) Database. Technical Report, CMU-RI-TR-01-18, Pittsburgh, USA: Carnegie Mellon University. Robotics Institute, 2001

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