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- W2378383169 abstract "To obtain a good initial searching point that enables object tracking algorithms to circumvent interference from background and to reduce searching distance,an algorithm of adaptive prediction of the initial searching point is proposed.The algorithm tracks the changing rate of each coordinate transformation parameter through Kalman filter to facilitate better prediction of the initial searching point.More importantly,the powers of the noise models of the Kalman filter are effectively estimated online rather than making artificial assumptions on their values.The algorithm can hence adapt to various target motions and searching precisions in a real-time manner without any manual intervention.Experimental results on a large number of real-world video sequences confirm that substantial enhancement of tracking stability and considerable drop of computational burden are achieved by the proposed algorithm." @default.
- W2378383169 created "2016-06-24" @default.
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- W2378383169 date "2008-01-01" @default.
- W2378383169 modified "2023-09-25" @default.
- W2378383169 title "Object tracking based on adaptive prediction of initial searching points" @default.
- W2378383169 hasPublicationYear "2008" @default.
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