文件名称：Pedestrian Detection Using Boosted HOG Features
文件大小：294KB
文件格式：PDF
更新时间：2012-05-21 11:21:10
HOG Feature Pedestrian Detection
This paper presents a novel approach in pedestrian detection in static images. The state-of-art feature named Histograms of Oriented Gradients (HOG) [1] is adopted as the basic feature which we modify and create a new feature using boosting algorithm. The detection is achieved by training a linear SVM with the boosted HOG feature. We experimentally demonstrate that our solution achieve comparable performance as the HOG algorithm on the INRIA pedestrian dataset yet considerably reduce storage requirement and simplify the computation in terms of elementary operations.