Multiple target tracking with an efficient compact colour correlogram
Pankaj Kumar, Anthony Dick, Michael J. Brooks · 2008
A robust approach to detection and tracking of multiple moving targets from a moving camera is presented. The main novelty of this approach is that objects are represented using efficient compact form of the colour correlogram. Like previous correlograms, this encodes both spatial pattern and appearance information about the target. However it is less complex to compute, making it applicable to real time target tracking. The correlogram representation is incorporated into a particle filter tracking framework. Robustness to camera motion is obtained by identifying homographies linking adjacent frames, and using them to align corresponding image areas to a common local reference frame. We demonstrate successful detection and tracking in real life image sequences.