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Proceedings Paper

Confidence evaluation for cascade classifier in object detection
Author(s): Jin Liu; WenBing Tao; Han Zheng
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Paper Abstract

This paper proposed a method that can measure confidence for cascade classifier. It has great value in fusion of multi-classifier, sorting object detection results and so on. Differs from the traditional qualitative description results though using cascade classifier, this method could give a quantitative description for the results. Confidence evaluation function is constructed to calculate the confidence for the targets and the classifiers. Several experiments have been done and the results show that false alarm rate could be greatly reduced with little time cost.

Paper Details

Date Published: 8 December 2011
PDF: 15 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800306 (8 December 2011); doi: 10.1117/12.901981
Show Author Affiliations
Jin Liu, Wuhan Univ. (China)
WenBing Tao, Wuhan Univ. (China)
Han Zheng, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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