Learning Semantic Scene Models by Trajectory Analysis-Reference-Cited by-同舟云学术

Learning Semantic Scene Models by Trajectory Analysis

Published:2006 Issue: Volume: Page:110-123
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2006
language:
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Author:

Wang Xiaogang,Tieu Kinh,Grimson Eric

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11744078_9

Reference12 articles.

1. Kaucic, R., Perera, A., Brooksby, G., Kaufhold, J., Hoogs, A.: A Unified Framework for Tracking through Occlusions and across Sensor Gaps. In: Proceedings of CVPR (2005)

2. Stauffer, C., Grimson, E.: Learning Patterns of Activity Using Real-Time Tracking. IEEE Trans. on PAMI 22(8), 747–757 (2000)

3. Makris, D., Ellis, T.: Path Detection in Video Surveillance. Image and Vision Computing 20, 859–903 (2002)

4. Fernyhough, J.H., Cohn, A.G., Hogg, D.C.: Generation of Semantic Regions from Image Sequences. In: Proc. of ECCV (1996)

5. Makris, D., Ellis, T.: Automatic Learning of an Activity-Based Semantic Scene Model. In: Proc. of IEEE Conference on Advanced Video and Signal Based Surveillance (2003)

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