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dc.contributor.author문영식-
dc.date.accessioned2019-07-10T04:26:04Z-
dc.date.available2019-07-10T04:26:04Z-
dc.date.issued2007-11-
dc.identifier.citation2007 International Conference on Convergence Information Technology (ICCIT 2007), Page. 273-278en_US
dc.identifier.isbn0-7695-3038-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4420272-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/107262-
dc.description.abstractIn this paper, a new snake algorithm considering textures around object boundaries is proposed for tracking deformable objects in image sequences with complex background. In order to compare the texture of object regions, a method of region classification is proposed. The proposed snake modifies the gradient value of the given image according to the textural coefficient which is driven by comparing object regions. As a result, the proposed snake can be attracted to the correct edge, although the desired edges are weak or there are strong edges in background. Experimental results have shown that the proposed snake algorithm applied to the tracking of fingers and hands produces good performance in terms of the robustness and accuracy tracking.en_US
dc.description.sponsorshipThis research was supported by MIC(Ministry of Information and Communication), Korea, under the ITRC(Information Technology Research Center) support program supervised by the IITA(Institute of Information Technology Assessment)en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleA New Snake for Hand Tracking Using Textural Informationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCIT.2007.283-
dc.contributor.googleauthorJang, Kyung Hyun-
dc.contributor.googleauthorShin, Do Kyung-
dc.contributor.googleauthorMoon, Young Shik-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
Appears in Collections:
COLLEGE OF COMPUTING(소프트웨어융합대학)[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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