H istog r am o f or iented g radient( H OG) based on pedestr ian detect ion is the popular method w ith t he hig hest detection rat e curr ent ly. To further im pr ove its detection r ate and decrease its larg e dimensions o f feat ur es, this paper in􀀁 tegr ates HOG w ith color frequent and skin colo r feature to descr ibe pedestr ian, w e select some blo ck features w ith better classify ing ability as t he final featur e, then use linear SVM as our classifier. T he ex per iment o n INRIA demo nstr ates t he hig h detection r ate of our met ho d.

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基于HOG和粒子滤波器的行人目标检测与跟踪_高明.caj
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基于OpenCV的红外运动目标检测与跟踪算法研究及实现_陈吉庐.caj
基于OpenCV的运动目标检测与跟踪_尹俊超.pdf
The+OpenCV+Reference+Manual.pdf

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