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- W2830754682 abstract "In order to improve the tracking performance and strengthen the recognition role of the saliency feature, a novel multi-feature fusion method is proposed. The histogram models of the hue feature and the texture feature are separately. The probability value of the pixel in the probability distribution image is chosen as the larger value between the two probability values obtained by the back projections based on the hue histogram and the texture histogram separately. Camshift method based on the feature fusion is used to track the face target. Simulation results show that the method can recognize the target from the complex scene, the interference can be restrained by the method, and the tracking performance can be improved." @default.
- W2830754682 created "2018-07-19" @default.
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- W2830754682 date "2018-06-01" @default.
- W2830754682 modified "2023-09-26" @default.
- W2830754682 title "Target tracking based on the feature fusion" @default.
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- W2830754682 doi "https://doi.org/10.1109/ccdc.2018.8407901" @default.
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