Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment

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18th International Conference on Pattern Recognition (ICPR'06) Volume 2

Hong Kong

August 20-August 24

ISBN: 0-7695-2521-0

	ASCII Text	x
	Tatsuya Osawa, Xiaojun Wu, Kaoru Wakabayashi, Takayuki Yasuno, "Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment," Pattern Recognition, International Conference on, vol. 2, pp. 25-28, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.641, author = {Tatsuya Osawa and Xiaojun Wu and Kaoru Wakabayashi and Takayuki Yasuno}, title = {Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2006}, issn = {1051-4651}, pages = {25-28}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.641}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment SN - 1051-4651 SP25 EP28 A1 - Tatsuya Osawa, A1 - Xiaojun Wu, A1 - Kaoru Wakabayashi, A1 - Takayuki Yasuno, PY - 2006 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

Tatsuya Osawa, NTT Cyber Space Laboratories, NTT corporation, Japan

Xiaojun Wu, NTT Cyber Space Laboratories, NTT corporation, Japan

Kaoru Wakabayashi, NTT Cyber Space Laboratories, NTT corporation, Japan

Takayuki Yasuno, NTT Cyber Space Laboratories, NTT corporation, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.641

This work presents a new approach based on particle filtering to directly estimate the 3D positions of humans. Our system can predict occlusions due to other movements because we track humans in a 3D space, not on a 2D image plane. In addition, we introduce a 3D environmental model as the background model for tracking. This makes it easier to handle occlusions due to fixed objects in the environment. The 3D environmental model is automatically constructed by our original method from video sequences. Experiments show that our system is stable under occlusions due to the movements of both other subjects and fixed objects.

Citation:

Tatsuya Osawa, Xiaojun Wu, Kaoru Wakabayashi, Takayuki Yasuno, "Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment," icpr, vol. 2, pp.25-28, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006

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