MOVING VEHICLES EXTRACTION IN TRAFFIC VIDEOS

In this paper we propose two different approaches to segment and extract moving vehicles in traffic videos. Background subtraction is used to extract foreground frames. Different types of moving vehicles are then segmented by first proposed hybrid approach which combines a connected component analysis and a semi-supervised thresholding. In the second proposed approach, Gabor filtering method is used for segmentation of moving vehicles. The robustness and efficacy of our proposed approaches are elaborated by experiments conducted on real traffic videos captured under complex background, variations in illumination, motion, position of a camera and different moving directions during day time. The presented results are as well compared with 2 well-known methods of GMM and W4 used in extraction of moving vehicles.