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- W2348944815 abstract "A novel and robust approach for target tracking in infrared image sequence is proposed in this paper.Because H infinity filter has superior performance in prediction when the system has uncertain or unknown noise sources,the particles of the particle filter are allocated based on the prediction information estimated from H infinity filter.To overcome the sample impoverishment problem of particle filter,the observation vector of H infinity filter is regularized.At the same time,intensity and local standard deviation distributions of each target are computed to construct the cascaded kernel target model which is used to compute the weight of each particle in the particle set.In cases when the target scale and appearance change,tracking window size is set according to a function of the zero moment of the pixel gray values in the target region and update the target model for each bin.The experiments show the proposed infrared target tracking method is effective and superior to the compared algorithms." @default.
- W2348944815 created "2016-06-24" @default.
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- W2348944815 date "2007-01-01" @default.
- W2348944815 modified "2023-09-24" @default.
- W2348944815 title "Infrared target tracking method based on regularized observation vector H infinity particle filter" @default.
- W2348944815 hasPublicationYear "2007" @default.
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