Gesture recognition in realistic images: The statistical approach

Vimplis, M; Kyriakopoulos, KJ

dc.contributor.author	Vimplis, M	en
dc.contributor.author	Kyriakopoulos, KJ	en
dc.date.accessioned	2014-03-01T02:42:07Z
dc.date.available	2014-03-01T02:42:07Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30796
dc.subject	Data Clustering	en
dc.subject	Extreme Value	en
dc.subject	Gesture Recognition	en
dc.subject	Hierarchical Clustering	en
dc.subject	Image Processing	en
dc.subject	Linear Model	en
dc.subject	Linear Regression	en
dc.subject	Mathematical Model	en
dc.subject	Sign Language	en
dc.subject	Statistical Approach	en
dc.subject	Statistical Pattern Recognition	en
dc.subject.other	Algorithms	en
dc.subject.other	Edge detection	en
dc.subject.other	Feature extraction	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Image segmentation	en
dc.subject.other	Mathematical models	en
dc.subject.other	Regression analysis	en
dc.subject.other	Signal filtering and prediction	en
dc.subject.other	Vectors	en
dc.subject.other	Data clustering	en
dc.subject.other	Linear regression	en
dc.subject.other	Pixels	en
dc.subject.other	Statistical pattern recognition	en
dc.subject.other	Gesture recognition	en
dc.title	Gesture recognition in realistic images: The statistical approach	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2002.1038141	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2002.1038141	en
heal.publicationDate	2002	en
heal.abstract	This paper presents a robust gesture segmentation and recognition scheme in real images using statistical pattern recognition techniques, like data clustering and linear regression. Specifically, a hierarchical clustering algorithm is adopted because it does not require the exact number of sought clusters. Thus the proposed gesture recognition scheme is capable to cope with gestures having a variable number of extended fingers, a common situation in many practical applications like the expanded user-machine interface and the automatic deaf-mute sign language translation. For the mathematical modeling of clusters, a linear regression scheme is used. While in other cases linear regression is a simplification made for time saving, in this case it also ensures representation accuracy due to the geometry of the human hand that is mostly composed of linear segments. Statistical linear modeling enables the handling of points with extreme values in comparison to the rest (outliers). As a result, the suggested algorithm is not affected by pixels that have been mistakenly selected by the image processing algorithms.	en
heal.journalName	IEEE International Conference on Image Processing	en
dc.identifier.doi	10.1109/ICIP.2002.1038141	en
dc.identifier.volume	1	en
dc.identifier.spage	I/781	en
dc.identifier.epage	I/784	en