Confidence evaluation for cascade classifier in object detection
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.
Confidence evaluation Object detection Cascade classifier
Jin Liu WenBing Tao Han Zheng
School of Geodesy and Geomatics, Wuhan University, Hongshan Luoyu Road ＃129, Wuhan 430079, PR China
国际会议
桂林
英文
1-15
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）