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
专题复杂系统管理与控制国家重点实验室_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.
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