视频图像中的运动分析是诸多学术领域，包括计算机科学，计算机视觉，人工智能，广泛关注的一个课题。
Motion analysis in video images is a hot topic among many science domain including Computer science, Computer Vision and Artificial Intelligence.
主要研究了视频分析技术在目标检测中的应用，包括运动目标检测的任务和流程，以及常用的图像分割方法。
Then study in the video analysis technologies applied in target detection, include tasks and processes of moving target detection and commonly used methods of image segmentation.
方法以2 8例健康青年男女为研究对象，采用基于数字视频和数字图像处理的运动分析系统测得人体步态的运动学参数。
Methods28 healthy young persons as experimental subjects were studied. The gait analysis system based on digital video and digital image processing was employed to obtain kinematic parameters.
采用视频图像分析与地面目标群运动特性相结合的方法 ，可以解决空中对地面目标群的跟踪和瞄准问题。
Our video image analysis takes full advantage of this constraint to attain the goal of always locating the center of a ground target group at the cen.
对运动区域（视频前景），基于小波分析技术实现视频图像的人脸检测，进而引入改进的人脸模型进行高效的压缩编码；
Following, a wavelet based face detection algorithm is presented for the moving regions (foreground video objects), and an amendment for face model within MPEG-4 is introduced.
对运动区域（视频前景），基于小波分析技术实现视频图像的人脸检测，进而引入改进的人脸模型进行高效的压缩编码；
Following, a wavelet based face detection algorithm is presented for the moving regions (foreground video objects), and an amendment for face model within MPEG-4 is introduced.
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