  Vehicle detection is a technology which its aim is to locate and show the
vehicle size in digital images. In this technology, vehicles are detected in
presence of other things like trees and buildings. It has an important role in
many computer vision applications such as vehicle tracking, analyzing the
traffic scene and efficient traffic management. In this paper, vehicles
detected based on the boosting technique by Viola Jones. Our proposed system is
tested in some real scenes of surveillance videos with different light
conditions. The experimental results show that the accuracy,completeness, and
quality of the proposed vehicle detection method are better than the previous
techniques (about 94%, 92%, and 87%, respectively). Thus, our proposed approach
is robust and efficient to detect vehicles in surveillance videos and their
applications.
