Effective Object Segmentation in a Traffic Monitoring Application.
Alessandro Bevilacqua · 2002
The main task of traffic monitoring applications is to identify (and track) moving targets. Thresholding an image resulting from a background difference operation is a common way to detect moving pixels and represents the starting point for all of the subsequent operations. Therefore, a wrong choice for the threshold could afflict final results. The morphological operations utilized within most of the traffic monitoring systems to remove noise dramatically undergo the effect of a "wrong" thresholding. Namely, sometimes wrong thresholded images do not allow morphological operators to reconstruct the whole signal. Besides, a fine tuning of the parameters related to morphological operators is often required.