Human motion tracking and analysis has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years.
近年来，人体运动的跟踪与分析在图像处理与计算机视觉领域引起许多学者的关注。
Human motion vision analysis is a new research direction. It includes many science domains, such as: Pattern Classification, Image Processing, Computer vision and Artificial intelligence, etc.
人体运动的视觉分析是一个新兴的研究领域，涉及模式识别，图像处理，计算机视觉，人工智能等多门学科。
Firstly, the human region is extracted from the image by the background subtraction, then model-based and none model-based method are applied to track human motion from body parts to whole body.
首先经过背景去除，把感兴趣的人体目标从图像中提取出来，然后采用基于模型的和非基于模型的两种方法对人体的局部和全身运动进行了跟踪。
It explicates the realized module for the human motion inspection based on the real time video frequency image.
给出了基于实时视频图像的人体运动监测技术的实现模块。
Visual analysis of human motion focuses on people from the movement in the image sequence detection, extraction, tracking people and their behavior understanding and description.
人体运动视觉分析的研究内容，就是从包含人运动的图像序列中检测、提取、跟踪人并对其行为进行理解和描述。
The experimental results demonstrate that the algorithm is efficient for noise suppression and image gap filling. It can extract the motion human silhouettes from color image sequence in real time.
实验结果表明上述算法对噪声抑制和人体图像断裂处填充都是有效的，能够实时从彩色图像序列中分割出运动人体。
Tracking human motion from image sequences is main task for human motion analysis.
人体运动分析的主要任务是对视频序列中的人体运动进行跟踪。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
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