DocumentCode :
2634966
Title :
Real-time tracking of image regions with changes in geometry and illumination
Author :
Hager, Gregory D. ; Belhumeur, Peter N.
Author_Institution :
Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA
fYear :
1996
fDate :
18-20 Jun 1996
Firstpage :
403
Lastpage :
410
Abstract :
Historically, SSD or correlation-based visual tracking algorithms have been sensitive to changes in illumination and shading across the target region. This paper describes methods for implementing SSD tracking that is both insensitive to illumination variations and computationally efficient. We first describe a vector-space formulation of the tracking problem, showing how to recover geometric deformations. We then show that the same vector space formulation can be used to account for changes in illumination. We combine geometry and illumination into an algorithm that tracks large image regions on live video sequences using no more computation than would be required to trade with no accommodation for illumination changes. We present experimental results which compare the performance of SSD tracking with and without illumination compensation
Keywords :
image segmentation; image sequences; real-time systems; SSD tracking; geometric deformations; geometry; illumination; image regions; live video sequences; visual tracking; Computational geometry; Computed tomography; Computer science; Iterative algorithms; Lighting; Motion analysis; Motion estimation; Optical computing; Optical distortion; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
Conference_Location :
San Francisco, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-7259-5
Type :
conf
DOI :
10.1109/CVPR.1996.517104
Filename :
517104
Link To Document :
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