標題: A System for Front Vehicle Detection and Fast Indexing Using a Single Car-Mounted Camera
作者: Hsu, Chun-Chieh
Wu, Yi-Chien
Chen, Hua-Tsung
Lee, Suh-Yin
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: Intelligent vehicle;driver assistance system;vehicle detection;taillight detection
公開日期: 1-一月-2015
摘要: Video safety becomes a recently arising issue in the automobile industry due to the rapid expansion of car ownership worldwide. Increasing driver assistance systems have been developed for security and accident prevention by continuously monitoring the vehicle surroundings and the driving behaviors to detect potential problems in advance. Since most traffic/criminal accidents are caused by vehicles, recognizing and tracking the fleeing vehicles on the roads are of vital importance. In this paper, we propose a vision-based front vehicle detection and fast indexing system using a single car-mounted camera, which tends to be widespread deployed. First, front vehicle candidates are detected by a cascade of Gentle Adaboost classifiers utilizing Histogram of Oriented Gradients features. To improve the detection accuracy, symmetry of taillights are further employed to filter out the false detected candidates. Once a vehicle is detected, the GPS locations are reported to a central server, so that a database of detections can be maintained and can be provided to the related departments for timely retrieving and quickly indexing the searched vehicles on the maps. Experiments conducted on real videos demonstrate that satisfactory results can be obtained by the proposed detection scheme.
URI: http://dx.doi.org/10.3233/978-1-61499-484-8-1561
http://hdl.handle.net/11536/150905
ISSN: 0922-6389
DOI: 10.3233/978-1-61499-484-8-1561
期刊: INTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014)
Volume: 274
起始頁: 1561
結束頁: 1570
顯示於類別:會議論文