  In this paper, we compare various image background subtraction algorithms
with the ground truth of cars counted. We have given a sample of thousand
images, which are the snap shots of current traffic as records at various
intersections and highways. We have also counted an approximate number of cars
that are visible in these images. In order to ascertain the accuracy of
algorithms to be used for the processing of million images, we compare them on
many metrics that includes (i) Scalability (ii) Accuracy (iii) Processing time.
