Robust multi-clue face tracking system


Cao, Yujia and Wei, Xin and Zhao, Li and Di Federico, Riccardo (2009) Robust multi-clue face tracking system. In: WRI Global Congress on Intelligent Systems, GCIS, 19-21 May 2009, Xiamen, China (pp. pp. 513-517).

open access
Abstract:In this paper we present a multi-clue face tracking system, based on the combination of a face detector and two independent trackers. The detector, a variant of the Viola-Jones algorithm, is set to generate very low false positive error rate. It initiates the tracking system and updates its state. The trackers, based on 3DRS and optical flow respectively, have been chosen to complement each other in different conditions. The main focus of this work is the integration of the two trackers and the design of a closed loop detector-tracker system, aiming at achieving superior robustness at real-time operation on a PC platform. Tests were carried out to assess the actual performance of the system. With an average of about 95% correct face location rate and no significant false positives, the proposed approach appears to be particularly robust to complex backgrounds, ambient light variation, face orientation and scale changes, partial occlusions, different
facial expressions and presence of other unwanted faces.
Item Type:Conference or Workshop Item
Copyright:© 2009 IEEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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