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- W197428937 abstract "AbstractWe introduce an alternative method to improve optical flow estimation using image data for control functions. Base on the nature of object motion, we tune the energy minimization process with an image-adaptive scheme embedded inside the energy function. We propose a hybrid scheme to improve the quality of the flow field and we use it along with the multiscale approach to deal with large motion in the sequence. The proposed hybrid scheme take advantages from multigrid solver and the pyramid model. Our proposed method yields good estimation results and it shows the potential to improve the performance of a given model. It can be applied to other advanced models. By improving quality of motion estimation, various applications in intelligent systems are available such as gesture recognition, video analysis, motion segmentation, etc.KeywordsOptical FlowMotion EstimationGesture RecognitionHybrid SchemeAngular ErrorThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W197428937 date "2011-01-01" @default.
- W197428937 modified "2023-09-22" @default.
- W197428937 title "Improving Motion Estimation Using Image-Driven Functions and Hybrid Scheme" @default.
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- W197428937 doi "https://doi.org/10.1007/978-3-642-25367-6_7" @default.
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