An appearance-based approach for consistent labeling of humans and objects in video-Reference-Cited by-同舟云学术

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An appearance-based approach for consistent labeling of humans and objects in video

Published:2004-11-19 Issue:4 Volume:7 Page:373-385
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Balcells Martí,DeMenthon Daniel,Doermann David

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-004-0237-y.pdf

Reference26 articles.

1. Haritaoglu I, Harwood D, Davis LS (2000) W4: real-time surveillance of people and their activities. IEEE Trans Pattern Anal Mach Intell 22(8):809–830

2. McKenna SJ, Jabri S, Duric Z, Rosenfeld A, Wechsler H (2000) Tracking groups of people. Comput Vis Image Understanding 80(1):42–56

3. Mittal A, Davis LS (2002) M2Tracker: a multi-view approach to segmenting and tracking people in a cluttered scene using region-based stereo. In: Proceedings of the 7th European conference on computer vision (ECCV 2002), Copenhagen, Denmark, May/June 2002, vol 1, pp 18–36

4. Krumm J, Harris S, Meyers B, Brumitt B, Hale M, Shafer S (2000) Multi-camera multi-person tracking for EasyLiving. In: Proceedings of the 3rd IEEE international workshop on visual surveillance (VS 2000), Dublin, Ireland, July 2000, pp 3–10

5. Wren C, Azarbayejani A, Darrel T, Pentland A (1997) Pfinder: real-time tracking of the human body. IEEE Trans Pattern Anal Mach Intell 19(7):780–785

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