DocumentCode
3428721
Title
Robust KLT tracking with Gaussian and Laplacian of Gaussian weighting functions
Author
Singh, Meghna ; Mandal, Mrinal ; Basu, Anup
Author_Institution
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
Volume
4
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
661
Abstract
Object tracking algorithms extensively found in literature are either constrained with assumptions or are overly sensitive to noise. We propose and successfully test two new weighting functions for a feature-based object tracker to achieve superior tracking performance and noise immunity. The paper also presents a mechanism for image based optimal weighting function determination.
Keywords
Gaussian processes; Karhunen-Loeve transforms; image processing; tracking; Gaussian weighting function; KLT tracking; Laplacian weighting function; image processing; object tracking algorithm; Clustering algorithms; Computer vision; Feature extraction; Humans; Iterative algorithms; Karhunen-Loeve transforms; Laplace equations; Motion analysis; Robustness; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1333859
Filename
1333859
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