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Tracking the Human Motion from Multiple Video Images

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dc.contributor.author Htun, Baby
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-10-25T11:51:24Z
dc.date.available 2019-10-25T11:51:24Z
dc.date.issued 2015-02-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2357
dc.description.abstract Object motion and human motion tracking is an important technique used in many systems, especially in the fields of computer vision. An automatic motion tracking and catching system is developed in this research. It can be used to entrap snatchers for shopping mall, office, housing, corridors, borders, secured buildings, at airport and so on. The multiple perspective imagery is applied to track the desired people successfully. It needs to establish the perspective Gaussian Mixture Model and Particle Filter calculation correspondence among the multiple cameras. At once a man pass and is marked or chosen to track any view of camera which is implemented, the system will track the motion of this subject and as well as the other cameras will track him. In this paper, we can track and recognize the subject we desire. en_US
dc.language.iso en_US en_US
dc.publisher Thirteenth International Conference On Computer Applications (ICCA 2015) en_US
dc.subject Multi-object tracking en_US
dc.subject tracking-bydetection en_US
dc.subject image processing en_US
dc.subject object surveillance en_US
dc.subject human tracking system en_US
dc.subject security tracking en_US
dc.title Tracking the Human Motion from Multiple Video Images en_US
dc.type Article en_US


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