A gesture recognition technique for realistic images

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dc.contributor.author Viblis, MK en
dc.contributor.author Kyriakopoulos, KJ en
dc.date.accessioned 2014-03-01T02:41:39Z
dc.date.available 2014-03-01T02:41:39Z
dc.date.issued 2001 en
dc.identifier.uri http://hdl.handle.net/123456789/30583
dc.subject Deformable Template en
dc.subject Gesture Recognition en
dc.subject Natural Images en
dc.subject Simulated Annealing en
dc.subject.other Image segmentation en
dc.subject.other Object recognition en
dc.subject.other Pattern matching en
dc.subject.other Simulated annealing en
dc.subject.other Speech communication en
dc.subject.other Hand tracking en
dc.subject.other Template en
dc.subject.other Gesture recognition en
dc.title A gesture recognition technique for realistic images en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.2001.958092 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.2001.958092 en
heal.publicationDate 2001 en
heal.abstract A gesture segmentation and classification methodology without restrictions regarding the presence of other objects is presented. The aim is to provide a framework in which application of the deformable templates method does not lead to difficult minimization problems, requiring simulated annealing solution procedures. Experiments with natural images of unknown gestures of various sizes, positions and directions have been conducted en
heal.journalName IEEE International Conference on Image Processing en
dc.identifier.doi 10.1109/ICIP.2001.958092 en
dc.identifier.volume 3 en
dc.identifier.spage 226 en
dc.identifier.epage 229 en

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