DocumentCode :
2401453
Title :
Efficient Appearance-Based Tracking
Author :
Buenaposada, JosJosé Miguel ; Munoz, Enrique ; Baumela, Luis
Author_Institution :
ESCET, Univ. Rey Juan Carlos, Madrid, Spain
fYear :
2004
fDate :
27-02 June 2004
Firstpage :
6
Lastpage :
6
Abstract :
One of the major challenges that visual tracking algorithms face nowadays is being able to cope with changes in the appearance of the target during tracking. Linear sub-space models have been extensively studied recently and are possibly the most popular way of modeling target appearance. Unfortunately, efficiency is one of the limitations of present linear subspace models, and this is a key feature for a good tracker. In this paper we present an efficient procedure for tracking based on a linear subspace model of target appearance (grey levels). A set of motion templates is built from the subspace base, which is used to efficiently compute target motion and appearance parameters. It differs from previous works in that we impose no restrictions on the subspace used for modeling appearance. In the experiments conducted we have built a modular PCA-based face tracker which shows that video-rate tracking performance can be achieved with a non optimized implementation of our algorithm.
Keywords :
Computer vision; Face detection; Face recognition; Intelligent robots; Lighting; Pattern recognition; Principal component analysis; Shape; Statistics; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on
Type :
conf
DOI :
10.1109/CVPR.2004.55
Filename :
1384795
Link To Document :
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