Title :
Video Surveillance Traffic Analysis Using Scene Geometry
Author :
Brulin, M. ; Nicolas, H. ; Maillet, C.
Author_Institution :
LaBRI, Univ. Bordeaux I, Talence, France
Abstract :
We present a system to perform video analysis in the context of traffic surveillance´s application. A training step is performed to estimate the scene´s geometry and global information about the motion that occurs in the scene. Lanes boundaries, depth and motion information given by the initialization step are used to assist the vehicles´ segmentation and to correct eventual errors.
Keywords :
road traffic; traffic information systems; video surveillance; depth information; initialization step; lanes boundary; motion information; scene geometry; training step; vehicle segmentation; video surveillance traffic analysis; Brightness; Estimation; Image color analysis; Image edge detection; Pixel; Roads; Vehicles; object tracking; road traffic analysis; scene modeling;
Conference_Titel :
Image and Video Technology (PSIVT), 2010 Fourth Pacific-Rim Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-8890-2
DOI :
10.1109/PSIVT.2010.82