8 December 2011 Confidence evaluation for cascade classifier in object detection
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Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800306 (2011) https://doi.org/10.1117/12.901981
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
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Jin Liu, Jin Liu, WenBing Tao, WenBing Tao, Han Zheng, Han Zheng, } "Confidence evaluation for cascade classifier in object detection", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800306 (8 December 2011); doi: 10.1117/12.901981; https://doi.org/10.1117/12.901981
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