Real Time Architectures for Moving-Objects Tracking

The problem of object tracking is of considerable interest in the scientific community and it is still an open and active field of research. In this paper we address the comparison of two different specific purpose architectures for object tracking based on motion and colour segmentation. On one hand, we have developed a new multi-object segmentation device based on an existing optical flow estimation system. This architecture allows video tracking of fast moving objects based on high speed acquisition cameras. On the other hand, the second approach consists on real time filtering of chromatic components. Multiobject tracking is performed based on segmentation of pixel neighbourhoods according to a predefined colour. In this contribution we evaluate the two methods, comparing their performance, resource consumption and finally, we discuss which architecture fits better in different working scenarios.