Title :
The applications of automatic vision detection for the intersections
Author :
Chung-Cheng Chiu ; Sheng-Yi Chiu ; Meng-Liang Chung ; Bing-Fei Wu
Author_Institution :
Dept. of Electr. & Electron. Eng., Nat. Defense Univ., Taoyuan, Taiwan
Abstract :
The intelligent transportation systems (ITS) aim to provide services to transport and traffic management and supply more information and safer to various users. The visual-based systems are the most popular solutions for ITS due to their highly maintainable, flexible, and intuitive features. This paper uses a background extraction algorithm to extract initial color backgrounds from surveillance video based on an entropy-analysis concept. The moving objects can then be segmented quickly and correctly by a robust object segmentation algorithm. The segmented object can be used to analyze the trajectory and to provide the collision between pedestrian and moving vehicle. A license plate detection algorithm is also provided to detect the license plate in this study.
Keywords :
computer vision; entropy; feature extraction; image colour analysis; image motion analysis; image segmentation; intelligent transportation systems; object detection; pedestrians; video surveillance; ITS; automatic vision detection; entropy-analysis concept; initial color background extraction algorithm; intelligent transportation systems; intersections detection; license plate detection algorithm; moving vehicle; object segmentation algorithm; pedestrian; surveillance video; traffic management; visual-based systems; Cameras; Image color analysis; Image segmentation; Licenses; Object segmentation; Trajectory; Vehicles; collision detection; initial background detection; license plate detection; object segmentation;
Conference_Titel :
Automatic Control Conference (CACS), 2013 CACS International
Conference_Location :
Nantou
Print_ISBN :
978-1-4799-2384-7
DOI :
10.1109/CACS.2013.6734126
