Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/7001
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dc.contributor.authorKulkarni, S.-
dc.contributor.authorManoj, H.-
dc.contributor.authorSumam, David S.-
dc.contributor.authorMadumbu, V.-
dc.contributor.authorKumar, Y.S.-
dc.date.accessioned2020-03-30T09:46:36Z-
dc.date.available2020-03-30T09:46:36Z-
dc.date.issued2011-
dc.identifier.citation2011 11th International Conference on ITS Telecommunications, ITST 2011, 2011, Vol., , pp.431-435en_US
dc.identifier.urihttps://idr.nitk.ac.in/jspui/handle/123456789/7001-
dc.description.abstractThis paper presents a robust hand gesture analysis system. The approach uses the video analytic technique of motion templates rather than conventional gesture recognition algorithms. Also, it utilizes background modeling and skin pixel detection which further strengthens the approach by making it tolerant to background clutter and noise. In addition it reduces the false detections to a considerable extent. The system does not necessitate the user to wear any coloured caps or gloves for the hands. Encouraging results were obtained and it was found that the methodology is flexible and can be manipulated to suit gesture based interaction as per the requirements of a system. It can also be implemented as a standalone system. � 2011 IEEE.en_US
dc.titleRobust hand gesture recognition system using motion templatesen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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