Effective integration of object tracking in a video coding scheme for multisensor surveillance systems

This paper deals with the interaction and integration of two important elements of most video surveillance systems: object tracking and video coding. Both elements are open research topics and in general they are studied separately. In the domain of video surveillance the convergence of the two subjects can be extremely important to build viable applications in a number of emerging security scenarios. In this context we propose a spatio-temporal filter based on object tracking that improves coding performances and post-coding analysis. The filter is an alternative to complex object-based video codecs in many video surveillance scenarios. It increases the spatio-temporal redundancies of input signal discarding noise and unwanted moving objects. We demonstrate that the compression performances of successive codecs are increased. Moreover, the decoded stream implicitly represents the regions of interest detected on the original signal.