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
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