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- W2356246466 abstract "This paper extends the typical Mean-Shift tracking method and makes the feature selection and quantification automatic.It presents an adaptive tracking algorithm that integrates color and shape features and improves the quantification method.Good features and quantification parameter are selected and applied to represent the target according to the descriptive ability of these features.The proposed method is been implemented and tested in different kinds of image sequences.Experimental results show that the tracking algorithm is robust and efficient in image sequences,it is fit for some environment,such as variable light,disturbed background,shaded object and worse colon quality." @default.
- W2356246466 created "2016-06-24" @default.
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- W2356246466 date "2010-01-01" @default.
- W2356246466 modified "2023-09-24" @default.
- W2356246466 title "Mean-Shift Tracking Method Based on Feature Automatic Selection" @default.
- W2356246466 hasPublicationYear "2010" @default.
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