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- W2026552732 abstract "A new robust visual tracking algorithm, based on Transfer Adaptive Boosting, is proposed in this paper. The algorithm is able to produce a higher accuracy hypothesis for more effective and adaptive tracking by using certain useful historical instances of the video. The theoretical upper bound for the classification error of the samples and its corresponding theorem are also given. The theoretic analysis and simulation results show that the new method achieves a better performance compared with other methods in terms of avoiding drifting and miss‐tracking, even with complex variations and alterations of the object's original appearance, such as occlusions, illuminations, and shape deformations. Copyright © 2012 John Wiley & Sons, Ltd." @default.
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- W2026552732 date "2012-08-13" @default.
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- W2026552732 title "A new robust visual tracking algorithm based on Transfer Adaptive Boosting" @default.
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- W2026552732 doi "https://doi.org/10.1002/mma.2643" @default.
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