Airborne moving vehicle detection for urban traffic surveillance
Lin, Renjun; Cao, Xianbin; Xu, Yanwu; Wei, Chuangxian; Qiao, Hong
Conference Name11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008)
Conference DateOCT 12-15, 2008
Conference PlaceBeijing, PEOPLES R CHINA
AbstractAt present, moving vehicle detection on airborne platform has been an important technology for urban traffic surveillance. In such a situation, most commonly used methods (e.g. image subtraction) could hardly work well because of some additional difficulties such as slow movement of vehicles and jam. This paper proposed a new moving vehicle detection method named MVD-RD for airborne urban traffic surveillance:. First, the non-road regions tire extracted using toad detection technique. Secondly, the non-road regions with no vehicles are removed according to their size. As a result of this two-stage regions shrinkage, the detection area reduces a lot. Finally, to the reduced area, image subtraction is used to get all moving regions and then moving vehicles can be accurately filtered in a simple way. The experimental results show that, compared with traditional image subtraction, methane used in airborne moving; vehicle detection, the proposed MVD-RD method achieves much better performance in detection rate, false alarm rate, and detection speed.
KeywordFeature Extraction / Filtering Theory / Object Detection / Remotely Operated Vehicles / Road Traffic / Road Vehicles / Surveillance / Airborne Moving Vehicle Detection / Filtering Theory / Image Subtraction
Document Type会议论文
Corresponding AuthorLin, Renjun
AffiliationUniv Sci & Technol China
Recommended Citation
GB/T 7714
Lin, Renjun,Cao, Xianbin,Xu, Yanwu,et al. Airborne moving vehicle detection for urban traffic surveillance[C],2008.
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