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- W2387357876 abstract "Spatiograms outperform the traditional gray histogram,which contain intensity information and spatial layout of the intensity distribution for the target.In particle filters framework,the posterior distribution of the infrared target is approximated by a set of weighted samples and a normal random drift model is utilized to describe the state model.Infrared targets are represented by the spatiograms,which is defined by the spatial information of the intensity distribution estimated by kernel-based density.A similarity function of spatiograms is used as the probability model for observation.We propose an infrared target tracking algorithm using particle filters based on spatiograms to robustly track the infrared target in sea clutter background.Experimental results indicate that the proposed algorithm outperforms the traditional particle filters based on the gray histogram,and has better robustness under local occlusion and global occlusion of infrared target tracking in sea clutter background." @default.
- W2387357876 created "2016-06-24" @default.
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- W2387357876 date "2010-01-01" @default.
- W2387357876 modified "2023-09-24" @default.
- W2387357876 title "Infrared target tracking in sea clutter background based on spatiograms" @default.
- W2387357876 hasPublicationYear "2010" @default.
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