A low-cost pedestrian detection system with a single optical camera
Xu, Y.W.; Cao, X.B.; Qiao, H.
2006
会议名称Sixth World Congress on Intelligent Control and Automation
会议录名称Sixth World Congress on Intelligent Control and Automation
会议日期21-23 June 2006
会议地点Dalian, China
摘要This paper presents a low-cost solution for pedestrian detection using a single optical video camera on a moving vehicle. Since only one optical camera can collect just a little original information, our system scan two sequential frames to get both appearance and motion information. We use zoom image and slide window techniques to select the objective region, apply a cascaded classifier combined with statistical learning and SVM to recognize human body, adopt zoom-scale to estimate the distance from a pedestrian and develop a distance transform algorithm to forecast his/her orientation. This system is suitable for detecting pedestrians in the range of 0.3-20 meters in the city traffic with the speed under 50 km/h. The test with videos of real city traffic indicates that our system has got acceptable detecting rate and processing speed.
关键词Cascade Classifier / Coevolutionary Algorithm / Decomposed Support Vector Machines (Svms / Pedestrian-detection System (Pds / Small-scale Weighted Template Tree / Statistical Learning
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12858
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Xu, Y.W.
作者单位Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China.
推荐引用方式
GB/T 7714
Xu, Y.W.,Cao, X.B.,Qiao, H.. A low-cost pedestrian detection system with a single optical camera[C],2006.
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