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Multiple People Tracking Using an Appearance Model Based on Temporal Color
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90300015th International Conference on Patt ...
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Hyungki Roh, Seonghoon Kang, Seong-Whan Lee, "Multiple People Tracking Using an Appearance Model Based on Temporal Color," Pattern Recognition, International Conference on, vol. 4, pp. 4643, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.903000,
author = {Hyungki Roh and Seonghoon Kang and Seong-Whan Lee},
title = {Multiple People Tracking Using an Appearance Model Based on Temporal Color},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2000},
isbn = {0-7695-0750-6},
pages = {4643},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903000},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Multiple People Tracking Using an Appearance Model Based on Temporal Color
SN - 0-7695-0750-6
SP
EP
A1 - Hyungki Roh,
A1 - Seonghoon Kang,
A1 - Seong-Whan Lee,
PY - 2000
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Hyungki Roh, Korea University
Seonghoon Kang, Korea University
Seong-Whan Lee, Korea University
We present a method for the detection and tracking of multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information, i.e., the temporal color, for robust medium-term people tracking. It assures our system to continuously track people moving in a group with occlusion. Experimental results show that the temporal color is more stable than shape or intensity when used in various cases.
Citation:
Hyungki Roh, Seonghoon Kang, Seong-Whan Lee, "Multiple People Tracking Using an Appearance Model Based on Temporal Color," icpr, vol. 4, pp.4643, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 4, 2000
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