Finding human in images is critical for several applications in computer visionWe combine the cascade of rejection approach with the Histograms of Oriented Gradient （HOG） to form a fast and precise human detectorThe detector consists of coarse to fine linear SVM classifiersOur experiments show that our method can process average 12 frames with 320×240 image per second，while maintaining the comparable accuracy to Dalals method