Publications:Face Tracking Using Optical Flow : Development of a Real-Time AdaBoost Cascade Face Tracker
From ISLAB/CAISR
| Title | Face Tracking Using Optical Flow : Development of a Real-Time AdaBoost Cascade Face Tracker |
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| Author | Andreas Ranftl and Fernando Alonso-Fernandez and Stefan Karlsson |
| Year | 2015 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | |
| Conference | 14th International Conference of the Biometrics Special Interest Group, BIOSIG, Darmstadt, Germany, 9-11 September, 2015 |
| DOI | |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:844486 |
| Abstract | 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 facetracker 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. |
