Title :
Traffic Flow Detection Algorithm Based on Intensity Curve of High-Resolution Image
Author :
Xiong, Changzhen ; Fan, Wuyi ; Li, Zhengxi
Author_Institution :
Dept. of Autom., North China Univ. of Technol., Beijing, China
Abstract :
A new vehicle detection algorithm for high resolution images is proposed in this paper. The new method is based on intensity curve of images. It can detect the presence of vehicles via different intensity curve characters between moving objects and background. Our approach is a real-time detection algorithm. It outperforms the existing traditional algorithms, such as mixture Gaussian background model and Bayes background model. The experimental result for 20-minutes high resolution video shows that our algorithms accuracy is up to 98%.
Keywords :
image resolution; traffic engineering computing; video signal processing; Bayes background model; high resolution video; high-resolution image; intensity curve; mixture Gaussian background model; real-time detection algorithm; traffic flow detection algorithm; Competitive intelligence; Detection algorithms; Image edge detection; Image resolution; Intelligent transportation systems; Object detection; Pixel; Road vehicles; Space vehicles; Vehicle detection; Vehicle detection; high-resolution images; intensity curve; moving object detection;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.405
