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- W2378618606 abstract "Considering the issue of model update within the Mean-shift framework, this paper proposes a model update method by using Kalman filters to estimate the object kernel-histogram from the previous and current object models. Filtering residuals are employed to adaptively tune all the parameters of Kalman filters. In addition, Bhattacharyya coefficient is used as a criterion for model update. Therefore, the tracker can avoid over-update. Experimental results show that the method keeps up with the object appearance and scale changes, and is robust under the influence of occlusion and illumination factors, etc." @default.
- W2378618606 created "2016-06-24" @default.
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- W2378618606 date "2005-01-01" @default.
- W2378618606 modified "2023-09-25" @default.
- W2378618606 title "Mean-Shift Tracking with Adaptive Model Update Mechanism" @default.
- W2378618606 hasPublicationYear "2005" @default.
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