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Automatic video sequence segmentation using object tracking

机译:使用对象跟踪自动视频序列分割

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Emerging video standards address content-based functionalities and interactive multimedia. MPEG-4 segments the frames into video object planes (VOP) with each VOP corresponding to one semantically meaningful object. In this paper a new automatic video sequence segmentation algorithm is presented that can extract such VOPs. A binary model for moving objects is automatically derived and tracked in subsequent frames using the generalised Hausdorff distance. The model is updated every frame to accommodate for rotation and changes in shape. For that an update mechanism consisting of two components is proposed. To improve the segmentation and reduce the computational complexity the stationary background is filtered by a novel technique. Experimental results demonstrate the performance of our proposed algorithm.
机译:新兴视频标准地址基于内容的功能和交互式多媒体。 MPEG-4将帧分段为视频对象平面(VOP),每个VOP对应于一个语义有意义的对象。在本文中,提出了一种新的自动视频序列分段算法,可以提取这种vops。使用Generalized Hausdorff距离在后续帧中自动导出和跟踪用于移动对象的二进制模型。该模型被更新每个帧以适应旋转和形状的变化。为提出由两个组件组成的更新机制。为了改善分割并降低计算复杂性,通过新颖的技术过滤静止背景。实验结果表明了我们所提出的算法的性能。

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