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- W2380292893 abstract "This paper presents a new method for moving object identification and tracking in the intelligent traffic monitoring system.For the shortcomings and deficiencies of the frame-subtraction method,we put forward a redundant wavelet transform based on the moving object recognition algorithm,which directly detects moving objects in the redundant wavelet transform domain.Subsequently,we use an improved adaptive mean-shift algorithm to track the object.Experimental results show that the proposed algorithm can effectively extract the moving object,even though the object is similar to the background.The segmentation results are more effective than the traditional frame-subtraction method,and the object tracking is accurate without the impact of changes in the size of the object.Therefore,the proposed algorithm has high practical value and prospects." @default.
- W2380292893 created "2016-06-24" @default.
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- W2380292893 date "2008-01-01" @default.
- W2380292893 modified "2023-09-23" @default.
- W2380292893 title "New Method for Moving Object Recognition and Tracking" @default.
- W2380292893 hasPublicationYear "2008" @default.
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