利用级联SVM的人体检测方法
摘 要
从图像中检测出人体是计算机视觉应用中的关键步骤。通过一个由简到繁的级联线性SVM分类器将级联拒绝的机制与梯度方向直方图特征相结合,实现了一个准确和快速的人体检测器,整个检测器由级联的线性SVM分类器组成。实验结果表明,在保持Dalal算法检测准确性的同时,大幅的提高了检测速度,每秒平均可以处理12帧左右的320×240的图像。
关键词
Human Detection with a Coarse to fine Cascade Linear SVM
() Abstract
Finding human in images is critical for several applications in computer visionWe combine the cascade of rejection approach with the Histograms of Oriented Gradient (HOG) to form a fast and precise human detectorThe detector consists of coarse to fine linear SVM classifiersOur experiments show that our method can process average 12 frames with 320×240 image per second,while maintaining the comparable accuracy to Dalals method
Keywords
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