Title :
Video-based intelligent multi-drive vehicle retrograde detection
Author :
Li, Yinghong ; Zhang, Yan ; Li, Zhengxi
Author_Institution :
Inst. of Intell. Transp. Syst., North China Univ. of Technol., Beijing, China
Abstract :
This paper presents a video-based intelligent multidrive vehicle retrograde detection algorithm. Through the vehicle detection and tracking to determine the traffic flow direction on the road, compare the movement direction of vehicles and the traffic flow direction on the road to realize intelligent retrograde detection of multi-drive vehicles. Experiments show that the method is simple and effective. It can detect the retrograde vehicles in real-time and make the appropriate treatment.
Keywords :
Gaussian processes; object detection; traffic engineering computing; video signal processing; Gaussian mixture model; intelligent transportation system; traffic flow direction; video-based intelligent multidrive vehicle retrograde detection; Accuracy; Cameras; Detection algorithms; Roads; Target tracking; Vehicle detection; Vehicles; Gaussian mixture model; Illegal retrograde; Multi-drive; Object detection;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646346
