P245 - BIOSIG 2015 - Proceedings of the 14th International Conference of the Biometrics Special Interest Group

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Konferenzbeitrag
Face tracking using optical flow development of a real-time adaboost cascade face tracker
(BIOSIG 2015, 2015) Ranftl, Andreas; Alonso-Fernandez, Fernando; Karlsson, Stefan
In this paper a novel face tracking approach is presented where optical flow information is incorporated into the Viola-Jones face detection algorithm. In the original algorithm from Viola and Jones face detection is static as information from previous frames is not considered. In contrast to the Viola- Jones face detector and also to other known dynamic enhancements, the proposed face tracker preserves information about near-positives. The algorithm builds a likelihood map from the intermediate results of the Viola-Jones algorithm which is extrapolated using optical flow. The objects get extracted from the likelihood map using image segmentation techniques. All steps can be computed very efficiently in real-time. The tracker is verified on the Boston Head Tracking Database showing that the proposed algorithm outperforms the standard Viola-Jones face detector.