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dc.contributor.authorOrozco, Francisco J.
dc.contributor.authorRoca, Francesc Xavier
dc.contributor.authorGonzàlez, Jordi
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.identifier.citationOrozco, Francisco J.; Roca, F. Xavier; Gonzàlez, Jordi. "Deterministic and stochastic methods for gaze tracking in real-time". 12th International Conference on Computer Analysis of Images and Patterns (CAIP), Vienna, Austria, 2007. A: Lecture Notes in Computer Science, vol. 4673. Berlin, Alemanya: Springer, 2007, p. 45-52.
dc.description.abstractPsychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult for precise and robust tracking. Instead, we propose to reduce the dimensionality of the image-data by using multi-Gaussian modelling and transition estimations by applying partial differences. The tracking system can handle illumination changes, low-image resolution and occlusions while estimating eyelid and iris movements as continuous variables. Therefore, this is an accurate and robust tracking system for eyelids and irises in 3D for standard image quality.
dc.format.extentp. 45-52
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshComputer vision
dc.titleDeterministic and stochastic methods for gaze tracking in real-time
dc.typePart of book or chapter of book
dc.subject.lemacVisió per ordinador
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Computer vision
dc.rights.accessOpen Access
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