Pedestrian Detection Using Boosted HOG Features

	Pedestrian Detection Using Boosted HOG Features
	Zhen-rui Wang; Yulan Jia; Hua Huang; Shuming Tang
	2008
会议名称	The Proceedings of the 11th IEEE International Conference on Intelligent Transportation Systems
会议录名称	IEEE INTELLIGENT SYSTEMS
会议日期	October 12-15, 2008
会议地点	Beijing, China
摘要	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.
关键词	Support Vector Machines Intelligent Transportation Systems Support Vector Machine Classification Automation Humans Computer Vision Histograms Shape Infrared Detectors Computational Efficiency
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41415
专题	中科院工业视觉智能装备工程实验室_先进制造与自动化
通讯作者	Zhen-rui Wang
推荐引用方式 GB/T 7714	Zhen-rui Wang,Yulan Jia,Hua Huang,et al. Pedestrian Detection Using Boosted HOG Features[C],2008.