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- W2168481497 abstract "Methods for tracking an object are being categorized to four groups: region-based, model-based, feature-based and active contour. Each of these methods has its own advantage and disadvantages. Model-based is very accurate but its computational time is very high and this causes problems in tracking especially in real-time applications. In model-based method, firstly we must adapt an object to the different frames of the video and then try to track it. Here we have proposed a new method that reduces the time of tracking very tangibly and are tested in two human body databases (CASIA and Mocap) with remarkable improvement in results." @default.
- W2168481497 created "2016-06-24" @default.
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- W2168481497 date "2009-03-01" @default.
- W2168481497 modified "2023-10-16" @default.
- W2168481497 title "Increasing the speed of Model-based detection and tracking through Wavelet transform" @default.
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- W2168481497 doi "https://doi.org/10.1109/isma.2009.5164805" @default.
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