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dc.contributor.author Chen, J.
dc.contributor.author Tiddeman, Bernie
dc.date.accessioned 2010-03-17T16:56:22Z
dc.date.available 2010-03-17T16:56:22Z
dc.date.issued 2010-03-17
dc.identifier.citation Chen , J & Tiddeman , B 2010 , ' Multi-cue facial feature detection and tracking ' . in : Proceedings of the 3rd international conference on Image and Signal Processing . Springer Berlin / Heidelberg , pp. 356-367 . en
dc.identifier.other PURE: 158383
dc.identifier.other dspace: 2160/4472
dc.identifier.uri http://hdl.handle.net/2160/4472
dc.description Chen, J., Tiddeman, B.P., 'Multi-cue facial feature detection and tracking', In: Proceedings of the 3rd international conference on Image and Signal Processing, Lecture Notes In Computer Science, 5099, pp. 356-367, 2008 en
dc.description.abstract An efficient and robust facial feature detection and tracking system is presented in this paper. The system is capable of locating a human face automatically. Six facial feature points (pupils, nostrils and mouth corners) are detected and tracked using multiple cues including facial feature intensity and its probability distribution, geometric characteristics and motion information. In addition, in order to improve the robustness of the tracking system, a simple facial feature model is employed to estimate the relative face poses. This system has the advantage of automatically detecting the facial features and recovering the features lost during the tracking process. Encouraging results have been obtained using the proposed system. en
dc.format.extent 12 en
dc.language.iso eng
dc.publisher Springer Berlin / Heidelberg
dc.relation.ispartof Proceedings of the 3rd international conference on Image and Signal Processing en
dc.title Multi-cue facial feature detection and tracking en
dc.type Text en
dc.type.publicationtype Book chapter en
dc.contributor.institution Aberystwyth University en


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