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 descriptor 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.

Scale Space Histogram of Oriented__ Gradients for Human Detection.pdf

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