The computer vision community has extensively researched the area of human motion analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture recognition and so on. However for many applications, like monitoring of functional rehabilitation of patients with musculo skeletal or physical impairments, the requirement is to comparatively evaluate human motion. In this survey, we capture important literature on vision-based monitoring and physical rehabilitation that focuses on comparative evaluation of human motion during the past two decades and discuss the state of current research in this area. Unlike other reviews in this area, which are written from a clinical objective, this article presents research in this area from a computer vision application perspective. We propose our own taxonomy of computer vision-based rehabilitation and assessment research which are further divided into sub-categories to capture novelties of each research. The review discusses the challenges of this domain due to the wide ranging human motion abnormalities and difficulty in automatically assessing those abnormalities. Finally, suggestions on the future direction of research are offered.

计算机视觉界对人体运动分析领域进行了广泛的研究，主要集中在姿势估计、活动识别、姿势或手势识别等方面。然而，对于许多应用，例如监测肌肉骨骼或身体损伤患者的功能康复，要求是对人体运动进行比较评估。在本次调查中，我们收集了关于基于视觉的监测和身体康复的重要文献，这些文献侧重于过去二十年中人体运动的比较评估，并讨论了该领域当前的研究状况。与该领域的其他评论是从临床目标撰写的不同，本文从计算机视觉应用的角度介绍了该领域的研究。我们提出了我们自己的基于计算机视觉的康复和评估研究分类法，这些分类法进一步分为子类别以捕捉每项研究的新颖性。该评论讨论了该领域面临的挑战，因为人类运动异常范围广泛，并且难以自动评估这些异常。最后，对未来的研究方向提出建议。