The thesis is focused on the study of algorithm for moving target recognition and tracking in video sequence images.
本论文主要研究视频序列图像中运动目标识别与跟踪的算法。
Aiming at the tracking problem of targets in video sequence images, a multi-target tracking algorithm based on region matching is proposed.
针对视频序列中目标的跟踪问题，提出了一种基于模版匹配的多目标跟踪算法。
Using MPlayer to extract frames of any video into jpeg files, we will process the images using a Perl script to composite them into sequence.
使用MPlayer来提取任何视频帧为jpeg文件，我们将使用perl脚本来处理图片并按次序进行合成。
Now that we have a frame-by-frame extraction of our source video files, we can create tiled background images in sequence for each frame of the final product.
既然我们已逐帧提取出了源视频文件，对于最终产品的每一帧，我们可以按次序创建贴片的背景图像。
This paperintroduces a method of detecting moving object using sequence images in video.
介绍了一种在视频中运用序列图像检测运动目标的方法。
A video sequence possesses not only spatial properties like images, such as color, edge, texture, but also temporal properties, namely, the motion information.
视频数据除了具有与图像一样的空间特性外(如颜色、边缘和纹理等)，还具有时序特性，即视频中存在运动信息。
A method of face location in head-shoulder sequence images in video conference and video telephone application are proposed.
提出了一种用于视频会议及可视电话的头肩序列图像人脸定位方法。
The significant role of motion compensation technology was stated in this paper for which to be used in the sequence images or real time video signal coding. A main calculation method was presented.
论述了运动补偿技术在序列图像或实时视频信号编码中的重要作用，给出了其主要算法，并介绍了其在数字高清晰度电视系统中的应用。
Compressed video Super-resolution(SR)technique estimates High-resolution(HR)images from a sequence of Low-resolution(LR)observations, it has been a great focus for video Super-resolution.
压缩视频超分辨率（SR）技术是利用 压缩后的低分辨率（LR）图像序列来 重建高分辨率（HR）图像的技术，是当前 视频超分辨率技术研究的热点。
Compressed video Super-resolution(SR)technique estimates High-resolution(HR)images from a sequence of Low-resolution(LR)observations, it has been a great focus for video Super-resolution.
压缩视频超分辨率（SR）技术是利用 压缩后的低分辨率（LR）图像序列来 重建高分辨率（HR）图像的技术，是当前 视频超分辨率技术研究的热点。
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