A gesture recognition technique for realistic images

Viblis, MK; Kyriakopoulos, KJ

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	https://dspace.lib.ntua.gr/xmlui/handle/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