View source for Publications:Face Tracking Using Optical Flow : Development of a Real-Time AdaBoost Cascade Face Tracker

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{{PublicationSetupTemplate|Author=Andreas Ranftl, Fernando Alonso-Fernandez, Stefan Karlsson
|PID=844486
|Name=Ranftl, Andreas (Högskolan i Halmstad [2804], Akademin för informationsteknologi [16904]);Alonso-Fernandez, Fernando [feralo] (Högskolan i Halmstad [2804], Akademin för informationsteknologi [16904], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], CAISR Centrum för tillämpade intelligenta system (IS-lab) [13650]);Karlsson, Stefan [stekar] (Högskolan i Halmstad [2804], Akademin för informationsteknologi [16904], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], CAISR Centrum för tillämpade intelligenta system (IS-lab) [13650])
|Title=Face Tracking Using Optical Flow : Development of a Real-Time AdaBoost Cascade Face Tracker
|PublicationType=Conference Paper
|ContentType=Refereegranskat
|Language=eng
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|Conference=14th International Conference of the Biometrics Special Interest Group, BIOSIG, Darmstadt, Germany, 9-11 September, 2015
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|Year=2015
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|NBN=urn:nbn:se:hh:diva-29090
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|Categories=Signalbehandling (20205)
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|Notes=<p>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.</p>
|Abstract=<p>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.</p>
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|CreatedDate=2015-08-06
|PublicationDate=2015-08-06
|LastUpdated=2015-08-07
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:844486}}
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