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1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97)
Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates
Puerto Rico
June 17-June 19
ISBN: 0-8186-7822-4
ASCII Text
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Paul Fieguth, Demetri Terzopoulos, "Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pp. 21, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997.
 
 
BibTex
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@article{ 10.1109/CVPR.1997.609292,
author = {Paul Fieguth and Demetri Terzopoulos},
title = {Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {0},
year = {1997},
issn = {1063-6919},
pages = {21},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.1997.609292},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates
SN - 1063-6919
SP
EP
A1 - Paul Fieguth,
A1 - Demetri Terzopoulos,
PY - 1997
KW - Tracking
KW - Color
KW - Occlusion
KW - Real-time
VL - 0
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Paul Fieguth, University of Waterloo
Demetri Terzopoulos, University of Toronto
We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images. Running on a Silicon Graphics R4600 Indy system with an IndyCam, our algorithm is capable of simultaneously tracking objects at full frame size ($640\times480$ pixels) and video frame rate (30 fps). Robustness with respect to occlusion is achieved via an explicit hypothesis-tree model of the occlusion process. We demonstrate the efficacy of our technique in the challenging task of tracking people, especially tracking human heads and hands.
Index Terms:
Tracking, Color, Occlusion, Real-time
Citation:
Paul Fieguth, Demetri Terzopoulos, "Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates," cvpr, pp.21, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997
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