Multi-part target representation for color
tracking
This page presents the results of 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.