DocumentCode :
1943793
Title :
A Two-Stage Template Approach to Person Detection in Thermal Imagery
Author :
Davis, James W. ; Keck, Mark A.
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH
Volume :
1
fYear :
2005
fDate :
5-7 Jan. 2005
Firstpage :
364
Lastpage :
369
Abstract :
We present a two-stage template-based method to detect people in widely varying thermal imagery. The approach initially performs a fast screening procedure using a generalized template to locate potential person locations. Next an AdaBoosted ensemble classifier using automatically tuned filters is employed to test the hypothesized person locations. We demonstrate and evaluate the approach using a challenging dataset of thermal imagery
Keywords :
infrared imaging; object detection; AdaBoosted ensemble classifier; person detection; thermal imagery; tuned filters; two-stage template approach; Automatic testing; Cameras; Computer science; Computer vision; Filter bank; Humans; Pixel; Shape; Thermal engineering; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on
Conference_Location :
Breckenridge, CO
Print_ISBN :
0-7695-2271-8
Type :
conf
DOI :
10.1109/ACVMOT.2005.14
Filename :
4129504
Link To Document :
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