Improved Shape Context algorithm for online fast recognition-an application in pedestrian detection from a moving vehicle
文献类型：会议论文
| 作者 | Wang, Min ; Wang, Jian-Qing; Qiao, Hong; Cao, Xian-Bin
|
| 出版日期 | 2009 |
| 会议名称 | IEEE Intelligent Vehicles Symposium |
| 会议日期 | JUN 03-05, 2009 |
| 会议地点 | Xian, PEOPLES R CHINA |
| 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 |
| 通讯作者 | Wang, Min |
| 英文摘要 | 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. |
| 会议录 | 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12809]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 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]. 见:IEEE Intelligent Vehicles Symposium. Xian, PEOPLES R CHINA. JUN 03-05, 2009. |
入库方式： OAI收割
来源：自动化研究所
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