@inproceedings{fb9ff1b941274f1387fc220774337539,
title = "A low-cost pedestrian detection system with a single optical camera",
abstract = "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.",
keywords = "Cascaded classifier, Decomposed SVM, Distance transform algorithm, Pedestrian detection system, Statistical learning",
author = "Xu, \{Y. W.\} and Cao, \{X. B.\} and H. Qiao",
year = "2006",
doi = "10.1109/WCICA.2006.1713692",
language = "英语",
isbn = "1424403324",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "8759--8763",
booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",
}