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Fast camera motion estimation in MPEG compressed domain

机译:MPEG压缩域中的快速摄像机运动估计

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摘要

In this paper, we propose a new algorithm for fast estimation of camera motion directly in MPEG compressed domain, which starts from an existing and commonly used camera motion model to characterize the relationship between corresponding points of the neighboring frames, and then exploits the MPEG motion estimation and compensation techniques to derive closed-form estimation of all the three camera motion parameters, including pan, tilt, and zoom. The proposed algorithm features in extremely low computing cost and high processing speed with 50% improvement over the representative existing algorithms. It is suitable for implementation on hardware, such as Pan-Tilt-Zoom (PTZ) video camera. Furthermore, the three separated processing units (pan, tilt, and zoom) can be integrated into one simplified Fast PTZ Processing Unit. Comparative experiments also reveal that the proposed algorithm achieves similar estimation precision for all the three camera motion parameters.
机译:在本文中,我们提出了一种直接在MPEG压缩域中直接快速估计摄像机运动的新算法,该算法从现有的和常用的摄像机运动模型开始,以表征相邻帧的对应点之间的关系,然后利用MPEG运动估计和补偿技术可得出所有三个摄像机运动参数(包括摇摄,倾斜和变焦)的闭合形式的估计。所提出的算法具有极低的计算成本和较高的处理速度,与现有的代表性算法相比提高了50%。它适用于在硬件上实现,例如Pan-Tilt-Zoom(PTZ)摄像机。此外,三个分离的处理单元(平移,倾斜和缩放)可以集成到一个简化的快速PTZ处理单元中。比较实验还表明,对于所有三个摄像机运动参数,该算法均达到了相似的估计精度。

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