On visual object tracking using active appearance models

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dc.contributor.authorHoffmann, McElory R.
dc.contributor.authorHerbstand B.M.
dc.contributor.authorHunter K.M.
dc.date.accessioned2011-05-15T16:00:41Z
dc.date.available2011-05-15T16:00:41Z
dc.date.issued2007
dc.description.abstractActive appearance models provide an elegant framework for tracking objects. Using them in a deterministic algorithm to perforin tracking is not robust enough since no history is used of the object's movement and position. We discuss two approaches to rectify this situation. Both techniques are based on the particle filter. The first technique initialises the active appearance model search algorithm with a shape estimate obtained from an active contour tracker. A combination of a particle filter and an active appearance model forms the foundation for the second technique. Experimental results indicate the effectiveness of these techniques.
dc.description.versionArticle
dc.identifier.citationTransactions of the South African Institute of Electrical Engineers
dc.identifier.citation98
dc.identifier.citation2
dc.identifier.issn382221
dc.identifier.urihttp://hdl.handle.net/10019.1/11824
dc.subjectActive appearance models
dc.subjectActive contours
dc.subjectDeterministic algorithms
dc.subjectParticle filter
dc.subjectPerforin
dc.subjectTracking objects
dc.subjectVisual object tracking
dc.subjectAir filters
dc.subjectFeature extraction
dc.subjectLearning algorithms
dc.subjectNonlinear filtering
dc.subjectFace recognition
dc.titleOn visual object tracking using active appearance models
dc.typeArticle
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