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Titlebook: Computer Analysis of Images and Patterns; 12th International C Walter G. Kropatsch,Martin Kampel,Allan Hanbury Conference proceedings 2007

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31#
發(fā)表于 2025-3-27 00:53:19 | 只看該作者
Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniquesased on the tracking of line features which are generated dynamically in every frame by rendering a polygonal model and extracting contours out of the rendered scene. Different methods of the line model generation are investigated. Depending on the scenario and the given 3D model either the image gr
32#
發(fā)表于 2025-3-27 02:41:37 | 只看該作者
Mixture Models Based Background Subtraction for Video Surveillance Applicationsions of interest can be found. To cope with highly dynamic and complex environments, a mixture of several models has been proposed in the literature. This paper proposes a novel background subtraction technique based on the popular Mixture of Gaussian Models technique. Moreover edge-based image segm
33#
發(fā)表于 2025-3-27 05:33:23 | 只看該作者
34#
發(fā)表于 2025-3-27 10:09:47 | 只看該作者
35#
發(fā)表于 2025-3-27 16:02:16 | 只看該作者
36#
發(fā)表于 2025-3-27 18:00:17 | 只看該作者
37#
發(fā)表于 2025-3-28 00:51:14 | 只看該作者
Speeding-Up Differential Motion Detection Algorithms Using a Change-Driven Data Flow Processing Strag is usually the classical approach for these algorithms: spatial and temporal derivatives are calculated for all pixels in the image despite the fact that the majority of image pixels may not have changed from one frame to the next. By contrast, the data flow model works in a totally different way
38#
發(fā)表于 2025-3-28 02:35:02 | 只看該作者
39#
發(fā)表于 2025-3-28 07:38:02 | 只看該作者
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發(fā)表于 2025-3-28 12:27:39 | 只看該作者
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