Title :
Research on a novel moving vehicle detection based on video
Author :
Yu, Wanxia ; Zhang, Weicun ; Du, Taihang
Author_Institution :
Dept. of Electron. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
Video based vehicle detection is an important method of collecting traffic parameter. Its core is moving object detection. In order to overcome the shortcomings of traditional background subtraction based on gray, a background subtraction based on YCbCr color space is proposed to detect moving object and iteration operation to determine the threshold of partition image. The paper proposes grads maximum to find the clearest and the most integrated vehicle image, which provides the basis for vehicle count. Experimental results on real-world throughway sequences show that the proposed method make it possible accurately segment the image, and is very simple and fast. It can be used in relevant real-time applications.
Keywords :
image colour analysis; image motion analysis; image segmentation; iterative methods; object detection; traffic engineering computing; vehicles; video surveillance; YCbCr color space; background subtraction; image segmentation; integrated vehicle image; iteration operation; moving object detection; traffic parameter; video based vehicle detection; Arithmetic; Colored noise; Data mining; Educational technology; Image segmentation; Object detection; Space technology; Traffic control; Vehicle detection; Vehicles; Background subtraction; Grads extremum; Vehicle detection; YCbCr color space;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486091
