Rao-Blackwell parçacık süzgeci ile 3 boyutlu insan takibi
Type :
Conference paper
Publication Status :
published
Access :
restrictedAccess
Abstract
Visual tracking has an important place among computer vision applications. Visual tracking with particle filters is a well-known methodology. The performance of particle filters is dependent on efficient sampling of the state space, which in turn, is dependent on number of particles. In this paper, Rao-Blackwell technique is applied to particle filters to improve sampling efficiency. Both algorithms are applied to people tracking problem. Under the same circumstances, the resulting algorithm is demonstrated to perform better than the original algorithm via experiments on the PETS2009 benchmark dataset.
Source :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Date :
2014
Publisher :
IEEE
URI
http://hdl.handle.net/10679/2551http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6830318
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