Improved Shape Context algorithm for online fast recognition-an application in pedestrian detection from a moving vehicle

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	Improved Shape Context algorithm for online fast recognition-an application in pedestrian detection from a moving vehicle
	Wang, Min; Wang, Jian-Qing; Qiao, Hong; Cao, Xian-Bin
	2009
会议名称	IEEE Intelligent Vehicles Symposium
会议录名称	2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM
会议日期	JUN 03-05, 2009
会议地点	Xian, PEOPLES R CHINA
摘要	Shape Context algorithm is a recently proposed good method for object recognition. It is robust under small geometrical distortions and occlusion, invariant under scaling, translation, and change of illumination. However, because of its computational complexity, this algorithm is not suitable for online recognition. In this paper, we proposed an improved Shape Context algorithm which introduces an optimal hierarchical structure and gives new reference points selection criteria. Compared with the original Shape Context algorithm, the improved algorithm keeps the recognition accuracy and reduces the computational cost greatly. The good experimental results reveal that, this new algorithm can be applied to the pedestrian detection system online, which is an important research topic in intelligent transportation.
关键词	Automated Highways / Computational Complexity / Object Detection / Object Recognition / Computational Complexity / Geometrical Distortion / Intelligent Transportation / Object Recognition / Online Fast Recognition / Pedestrian Detection System Online
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12809
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Wang, Min
作者单位	Chinese Acad Sci, Inst Automat
推荐引用方式 GB/T 7714	Wang, Min,Wang, Jian-Qing,Qiao, Hong,et al. Improved Shape Context algorithm for online fast recognition-an application in pedestrian detection from a moving vehicle[C],2009.