Geodesic active regions for segmentation and tracking of human gestures in sign language videos

Diamanti, O; Maragos, P

dc.contributor.author	Diamanti, O	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:45:17Z
dc.date.available	2014-03-01T02:45:17Z
dc.date.issued	2008	en
dc.identifier.issn	15224880	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32261
dc.subject	Color model	en
dc.subject	Geodesic active regions	en
dc.subject	Optical flow	en
dc.subject	Segmentation	en
dc.subject	Sign language	en
dc.subject	Tracking	en
dc.subject.other	Color model	en
dc.subject.other	Geodesic active regions	en
dc.subject.other	Segmentation	en
dc.subject.other	Sign language	en
dc.subject.other	Tracking	en
dc.subject.other	Algorithms	en
dc.subject.other	Color	en
dc.subject.other	Extraterrestrial atmospheres	en
dc.subject.other	Geodesy	en
dc.subject.other	Image processing	en
dc.subject.other	Imaging systems	en
dc.subject.other	Linguistics	en
dc.subject.other	Optical data processing	en
dc.subject.other	Skin	en
dc.subject.other	Optical flows	en
dc.title	Geodesic active regions for segmentation and tracking of human gestures in sign language videos	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2008.4711950	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2008.4711950	en
heal.identifier.secondary	4711950	en
heal.publicationDate	2008	en
heal.abstract	Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient method for detecting and tracking moving hands in sign language video frames. We make use of the geodesic active region framework in conjunction with new color and motion forces; color information is provided by a skin color model, while motion information is derived from the optical flow field. Extensive experimentation indicates that the proposed algorithm behaves sufficiently well for gesture detection and tracking. © 2008 IEEE.	en
heal.journalName	Proceedings - International Conference on Image Processing, ICIP	en
dc.identifier.doi	10.1109/ICIP.2008.4711950	en
dc.identifier.spage	1096	en
dc.identifier.epage	1099	en