Title :
Scene model for video traffic analysis
Author :
Brulin, M. ; Nicolas, H.
Author_Institution :
Labri, Univ. of Bordeaux, Bordeaux, France
Abstract :
For traffic video surveillance applications, it is necessary to define automatic systems able to analyze vehicles or pedestrians behaviors in real time. This is a very difficult task which involves major difficulties such as moving objects detection, tracking, and classification. In order to simplify it, a priori knowledge of the scene characteristics can be exploited. This paper presents a complete system able to automatically analyze the scene geometry and the traffic rules in the context of a traffic scene analysis. It allows detecting the road area, its decomposition into circulation lanes and forbidden areas, the typical vehicle´s trajectories and some circulation rules. This scene model can be usefully exploited by a video traffic analysis system. Experiments show that the scene model is well estimated.
Keywords :
object detection; pedestrians; traffic engineering computing; video signal processing; video surveillance; circulation rules; moving object detection; object classification; object tracking; pedestrian behaviors; road area detection; scene geometry analysis; scene model; traffic rules; traffic scene analysis; traffic video surveillance; vehicle analysis; vehicle trajectory; video traffic analysis system; Cameras; Estimation; Roads; Surveillance; Traffic control; Trajectory; Vehicles;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on
Conference_Location :
Seoul
DOI :
10.1109/AVSS.2014.6918685