A Semantic Based Similarity Measure for Human Motion Data


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In this paper, we measure the similarity of human motion data in the terms of distances between trajectories with a semantic method. In order to solve the problem of heavy computation cost, the semantic method that represents a trajectory as a set of 5-D vectors which contains the semantic information are proposed. Through experiments, the semantic method is proved to be efficient for cutting down the computation time and for two kinds of problems: overlapped trajectories with different directions and the trajectories with decoytrenches.



Edited by:

Yuning Zhong




J. J. Zhao et al., "A Semantic Based Similarity Measure for Human Motion Data", Applied Mechanics and Materials, Vol. 235, pp. 384-388, 2012

Online since:

November 2012




[1] Somayeh Dodge, Robert Weibel, Partrick Laube, Exploring Movement Similarity Analysis of Moving Objects, The SIGSPATIAL Special. 2009, volume 1 Issue 3: 11-16.

DOI: https://doi.org/10.1145/1645424.1645427

[3] C. Piciarelli and G.L. Foresti. On-line trajectory clustering for anomalous events detection[J]. Pattern Recognition Letters, 2006, 27: 1835–1842.

DOI: https://doi.org/10.1016/j.patrec.2006.02.004

[4] T. Xiang, S. Gong, Video behavior profiling for anomaly detection [J], IEEE Transactions on PAMI, 2007, 30: 893–908.

[5] A. Basharat, A. Gritai, M. Shah, Learning object motion patterns for anomaly detection and improved object detection[J], in: Proc. of IEEE Int'l Conference on Computer Vision and Pattern Recognition, 2008, vol. 0: p.1–8.

DOI: https://doi.org/10.1109/cvpr.2008.4587510

[6] Y. Zhou, S. Yan, T. Huang, Detecting anomaly in videos from trajectory similarity analysis [J], in: IEEE International Conference on Multimedia and Expo 2007, 2007: p.1087–1090.

DOI: https://doi.org/10.1109/icme.2007.4284843

[7] C. Piciarelli, C. Micheloni, Trajectory-based anomalous event detection [J], IEEE Transactions on Circuits and Systems for Video Technology, 2008, 18 (11): 1544–1554.

DOI: https://doi.org/10.1109/tcsvt.2008.2005599

[8] Wang, X., Teck, K., Ng, G. W., & Grimson, W. Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. CVPR 2008: pp.1-8.

DOI: https://doi.org/10.1109/cvpr.2008.4587718