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BMVC
1997

Color Recognition by Learning: ATR in Color Images

9 years 14 days ago
Color Recognition by Learning: ATR in Color Images
Traditional methods for ATR Automatic Target Recognition use infrared IR sensors for detecting heat emanating fromtargets. IR-based ATR techniques are susceptible to sensor-induced errors; for instance, targets may not be detected if they are cold when vehicle engines are turned o , or when the background is hot on a hot day. This work presents an approach to real-time color-based ATR which uses multivariate decision trees for recursive non-parametric function approximation to learn the color of a target from training samples, and then detects targets by classifying pixels based on the approximated function. Tests of the color-based system, sanctioned by the U.S. Defense Advanced Research Projects Agency - Unmanned Ground Vehicle Project DARPA-UGV, have resulted in a 90 target detection rate compared to the 45 detection rate of the IR-based system developed for the same tests. When the color system was used in conjunction with the IR-based system, 100 of the targets wer...
Shashi D. Buluswar, Bruce A. Draper
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1997
Where BMVC
Authors Shashi D. Buluswar, Bruce A. Draper
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