本文运用尺度空间理论检测人体，通过集成

面向梯度与histogramof尺度空间理论

-Human detection is the task of finding presence and position

of human beings in images. In this paper, we apply

scale space theory to detecting human in still images. By integrating

scale space theory with histogramof oriented gradients

(HOG), we designed a new feature descr iptor called

scale space histogram of oriented gradients (SS-HOG). SSHOG

focus on the multiple scale property of describe an

object. Using HOGs at multiple scale, SS-HOG encodes

more information to discriminate human bodies from other

object types than traditional uni-scale HOGs. Experiments

on INRIA person dataset demonstrate the effectiveness of

our method.