Vehicle Detection and Classification for Cluttered Urban Intersection
Habibu Rabiu · International Journal of Computer Science Engineering and Applications · 2013
As more vehicles continuously appear on our roads by the day causing congestion and accidents.A traffic monitoring system capable of detecting, counting and classifying the passed vehicles is needed to provide in advance information to relevant authorities on the road traffic demand.Background subtraction and kalman filter algorithm are used to detect and track individual vehicles throughout the detection zone.The detected vehicles blob-area is used to trigger the segmentation unit which inturn extracts the vehicle while at a point closest to the camera.Finally, both geometric and appearance features of the segmented vehicles are passed to the LDA classifier for proper categorisation.The system achieved a high counting performance of 97.37% with corresponding classification rate of 87.82 %