【摘要】 基于视频的动作智能识别是计算机视觉领域的一项具有挑战性的研究。本文回顾了基于视频动作智能识别最先进的方法并进行分析、比较和讨论，主要介绍基于手工制作特征的机器学习方法、基于自动特征提取的深度学习方法和基于多信息融合方法。同时介绍近十年来该技术在医学中流行的重要应用及其相关局限性，并分享关于此技术未来应用以改善人类健康的跨学科观点。更多还原

【Abstract】 Video-based intelligent action recognition remains challenging in the field of computer vision. The review analyzes the state-of-the-art methods of video-based intelligent action recognition, including machine learning methods with handcrafted features, deep learning methods with automatically extracted features, and multi-information fusion methods. In addition, the important medical applications and limitations of these technologies in the past decade are introduced, and the interdisciplinary views on the future application to improve human health are also shared.更多还原