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Robust and Generic Approaches for Video Segmentation

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Document pages: 13 pages

Abstract: The survey describes an approach for object –oriented video segmentation based on motion coherence. Using a tracking process ,2-D motion patterns are identified with an ensemble clustering approach. Particles are clustered to obtain a pixel-wise segmentation in space and time domains. The limitation of the segmentation method concerning with complex 3-D spatial motion can be solved by using reality-based 3-D models. The reality-based 3-D models are produced with range-based, image-based or CAD modeling techniques. Each 3-D model can contain different levels of geometry and need therefore to be semantically segmented and organized in different ways.

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