本文的主要研究贡献有：1。提出基于CNN差分图象合并的视频分割算法。
The main novel contributions of this paper are as follow: 1. Difference merged image algorithm based on CNN is presented.
不同差分方法下的实验结果表明，这种基于差分图象的运动目标检测框架是行之有效的。
A great deal of experiments in the case of different difference show that this framework is effective.
针对背景相对静止的视频序列，提出了基于CNN差分图象合并的视频分割算法，并构建了与该算法相关的五个CNN模板。
Aim at video sequences with static background, the difference merged image algorithm based on CNN is presented. In order to realize the algorithm, five CNN templates are constructed.
对于运动造成的图象模糊问题，传统方法是根据运动成像模型分析得出的差分算法进行恢复。
With the problem of blurred image caused by object motion, traditional difference algorithm based on analyzing the model of moving image was generally adopted to recover the blurred images.
对于运动造成的图象模糊问题，传统方法是根据运动成像模型分析得出的差分算法进行恢复。
With the problem of blurred image caused by object motion, traditional difference algorithm based on analyzing the model of moving image was generally adopted to recover the blurred images.
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