Face Tracking Using Optical Flow: Development of a Real-Time AdaBoost Cascade Face Tracker
2015 (English)Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:hh:diva-29090OAI: oai:DiVA.org:hh-29090DiVA: diva2:844486
14th International Conference of the Biometrics Special Interest Group, BIOSIG, Darmstadt, Germany, 9-11 September, 2015
FunderSwedish Research Council
This paper follows a master thesis which was written within the double degree master program in Embedded and Intelligent Systems of Salzburg University of Applied Sciences, Austria and Halmstad University, Sweden.2015-08-062015-08-062015-09-29Bibliographically approved