This paper proposes and implements a moving object segmentation method, which based on inter-frame difference.
为此，文章提出并实现了一种基于互帧差的视频运动对象分割方法。
This paper presents an new method of thresholding for moving object segmentation in adaptive background update application.
文中提出了一种新的阈值化方法用来在自适应背景的应用中把运动物体从景物中分割出来。
To solve the problem in segmentation and tracking the moving object in video sequence, a novel moving object segmentation and tracking approach is proposed based on spatial-temporal dispersions.
针对视频图像中单个运动对象的分割和跟踪问题，提出了一种基于时空离散度的视频对象分割跟踪算法。
Most of the current moving object segmentation algorithms in compressed domain were focused on the MPEGx video standards which were complexity intensive due to the use of complex mathematical models.
目前大部分压缩域视频对象的分割方法主要面向MPEG系列视频标准，且算法建模复杂。
Firstly, the shape moment features, size and velocity of each object are obtained through the segmentation of moving objects.
首先通过对运动目标的分割，分析得到各个物体的形状矩特征、面积大小及运动速度。
Video object segmentation aims to partition an image sequence into moving objects and to track the evolution of the moving objects along the time axis.
视频对象分割，旨在分割出视频序列中的运动对象并沿时间轴跟踪运动对象的演进。
Segmentation and tracking of video moving object is used for guiding the extraction of video object plane from the video sequence.
为了生成视频对象面，需要对视频序列中的运动对象进行有效的分割；
Segmentation of video moving object is extraction of semantic area meet certain characteristics from video sequence.
视频运动对象分割的目标是从视频帧序列中间分割出满足一定特征的语义区域。
Experimental results show that the segmentation algorithm is efficient and segmented moving object is complete and accurate.
实验结果表明，该算法分割效率高，分割的运动对象完整性好、精度较高。
Then the methods of normalizing MV, weighted extended vector median (WEVM) filter on the MV fields and the existent segmentation results projection were utilized to obtain the moving mask of object.
然后采用运动向量归一化、噪声向量滤除、权值扩展向量中值（WEVM）滤波及前帧分割结果后向投影技术来得到对象的运动掩码；
It has a effective result in the segmentation and targeting detection of moving object image.
对包含运动目标的图像有着较好的分割和目标检测效果。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
视频运动对象的自动分割是实现新一代对象基视频编码标准MPEG - 4的重要技术，本文提出了一种基于帧内图像分区的运动对象自动分割算法。
The new video coding standard MPEG-4 is enabling content-based function. It needs for the segmentation of semantically meaningful moving object in video sequences.
随着新的视频压缩标准MPEG - 4的出现，如何从视频序列中分割出在语义上有意义的单独运动对象显得极其重要。
The new video coding standard MPEG-4 is enabling content-based function. It needs for the segmentation of semantically meaningful moving object in video sequences.
随着新的视频压缩标准MPEG - 4的出现，如何从视频序列中分割出在语义上有意义的单独运动对象显得极其重要。
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