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
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;
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
DOI :
10.1109/ACVMOT.2005.14