Pedestrian Detection Using Spatial Histograms of Oriented Gradients
基于空间梯度直方图的行人检测算法

This paper presents a pedestrian detection approach using spatial histograms of oriented gradient feature. In order to detect pedestrians faster and more accurately,histogram similarity and Fisher criterion are employed to measure discriminability of all features and then we selected some discriminative features to identify the pedestrian. SVM classifier is constructed to train the selected features from the target and surrounding background. Experimental results show that the proposed approach is efficient and rapid in pedestrian detection.