A low-cost pedestrian detection system with a single optical camera
Xu, Y.W.; Cao, X.B.; Qiao, H.
2006
Conference NameSixth World Congress on Intelligent Control and Automation
Source PublicationSixth World Congress on Intelligent Control and Automation
Conference Date21-23 June 2006
Conference PlaceDalian, China
AbstractThis 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.
KeywordCascade Classifier / Coevolutionary Algorithm / Decomposed Support Vector Machines (Svms / Pedestrian-detection System (Pds / Small-scale Weighted Template Tree / Statistical Learning
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12858
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorXu, Y.W.
AffiliationDept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China.
Recommended Citation
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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