Motion Pattern Study and Analysis from Video Monitoring Trajectory-Reference-Cited by-同舟云学术

Motion Pattern Study and Analysis from Video Monitoring Trajectory

Published:2014 Issue:6 Volume:E97.D Page:1574-1582
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

KANG Kai¹²,LIU Weibin¹²,XING Weiwei³

Affiliation:

1. Institute of Information Science, Beijing Jiaotong University

2. Beijing Key Laboratory of Advanced Information Science and Network Technology

3. School of Software Engineering, Beijing Jiaotong University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E97.D/6/E97.D_1574/_pdf

Reference30 articles.

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3. [3] D. Makris and T. Ellis, “Learning semantic scene models from observing activity in visual surveillance,” IEEE Trans. Syst. Man Cybern., B, Cybern., vol.35, no.3, pp.397-408, 2005.

4. [4] X. Wang, X. Ma, and W.E.L. Grimson, “Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models,” IEEE Trans. Pattern Anal. Mach. Intell., vol.31, no.3, pp.539-555, 2009.

5. [5] S. Atev, O. Masoud, and N. Papanikolopoulos, “Learning traffic patterns at intersections by spectral clustering of motion trajectories,” IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.4851-4856, 2006.

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