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Object and camera movement tracking based on 2D hint extraction

机译:基于2D提示提取的对象和相机运动跟踪

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Abstract: Objects and camera movements are important clues, which can be used for a better video and image understanding for content-based image and video indexing. In this paper, we propose a new general technique for object and 3D camera movement detection based on 2D hints extracted from 2D images. Our approach consists of extracting first 2D hints based on object contours and calculating their different order derivatives. We then apply our pattern matching method to obtain objects movement vectors, and with help of 3D projection theory, we detect the camera movement description in the 3D space. The further work we have been undertaking shows that 2D and 3D hints combined with movement vectors can lead to 3D scene description. Some experimental evidence is also provided. !13
机译:摘要:对象和相机运动是重要的线索,可用于基于内容的图像和视频索引的更好的视频和图像理解。在本文中,我们提出了一种基于从2D图像中提取的2D提示的对象和3D摄像机移动检测的新的一般技术。我们的方法包括基于对象轮廓提取第一2D提示,并计算其不同的订单衍生物。然后,我们应用模式匹配方法以获得物体移动向量,以及3D投影理论的帮助,我们检测3D空间中的相机运动描述。我们一直在进行的进一步工作表明,2D和3D提示与运动矢量相结合可以导致3D场景描述。还提供了一些实验证据。 !13

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