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Key Frames Hysteresis-Seeking Based on Motion Change Points for RGB-D Video

机译:基于RGB-D视频的运动变化点的关键框架赛停

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摘要

Key-frame extraction has been a focused problem of human action recognition due to its effectiveness, efficiency and importance in action understanding. According to the characteristics of human motion perception, this paper proposes a new key-frame extraction framework based on motion change points. And in order to detect motion change points robustly, a hysteresis extrema seeking algorithm has been developed. Experimental results have demonstrated the good performance of the proposed methods.
机译:由于其有效性,效率和在行动理解中的有效性和重要性,重点框架提取是人类行动认可的重点问题。根据人类运动感知的特点,本文提出了一种基于运动变化点的新的键框提取框架。并且为了鲁棒地检测运动变化点,已经开发出滞后极值寻求算法。实验结果表明了该方法的良好性能。

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