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Face Tracking Using Optical Flow: Development of a Real-Time AdaBoost Cascade Face Tracker
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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
2015.
Keyword [en]
Face Tracking, Likelihood Map, Optical Flow, AdaBoost Cascade Classifier
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-29090DOI: 10.1109/BIOSIG.2015.7314604ISI: 000380513800012Scopus ID: 2-s2.0-84959557956OAI: oai:DiVA.org:hh-29090DiVA: diva2:844486
Conference
14th International Conference of the Biometrics Special Interest Group, BIOSIG, Darmstadt, Germany, 9-11 September, 2015
Funder
Swedish Research Council
Note

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.

Available from: 2015-08-06 Created: 2015-08-06 Last updated: 2016-12-01Bibliographically approved

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