Tracking moving objects in video sequence is an important

problem in computer vision, with applications several

fields, such as video surveillance and target tracking. Most

techniques reported in the literature use background subtraction

techniques to obtain foreground objects, and apply

shadow detection algorithms exploring spectral information

of the images to retrieve only valid moving objects.

In this paper, we propose a small improvement to an existing

background model, and incorporate a novel technique for

shadow detection in grayscale video sequences. The proposed

algorithm works well for both indoor and outdoor

sequences, and does not require the use of color cameras