Multi-part target representation for color tracking

This paper presents an effective target representation based on multiple colour histograms computed on semi-overlapping image areas. This solution introduces spatial information in the representation, without compromising the benefits of the histograms. In particular, target rotation and scaling can be accounted for, thus improving the tracker robustness to false targets. We demonstrate that the proposed target representation outperforms the standard single histogram model and non-overlapping multi-part representations, using state-of-the-art tracking algorithms. Experimental results show that the proposed representation achieves an improvement of tracking accuracy and a reduction of track losses, without increasing significantly the computational complexity.