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 proposes and implements a moving object segmentation method, which based on inter-frame difference.
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。
Segmentation of video moving object is extraction of semantic area meet certain characteristics from video sequence.
首先进行视频对象分割，求出运动目标的形心。
Firstly, video objects were segmented and their centroids were calculated.
为此提出了一种基于形态学算子的视频运动对象自动分割算法。
For the first step, a morphology operator-based video motion object segmentation algorithm is proposed.
实验结果证明本算法能比较准确地分割出运动视频对象。
The experimental results show that the proposed algorithm can precisely segment the motion video object.
提出了一种基于动态背景构造的视频运动对象自动分割算法。
In this paper, an automatic segmentation algorithm for moving objects in video sequences based on dynamic background construction is proposed.
提出了一种提取运动对象的新的视频序列分割算法。
This paper presents a new automatic video sequence segmentation algorithm that extracts moving objects.
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。
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.
将视频图像的方向信息测度、颜色和运动信息相结合的视频对象分割算法可以解决这一问题。
A new approach to extract video objects from video sequence by combining of orientation information measure, color and motion information is presented.
按照MPEG - 4的校验模型，视频序列必须先分割成具有语义意义的视频对象，然后对其运动、形状和纹理分别进行编码。
According to the MPEG-4 verification model, video sequence must be segmented into semantic video objects. Their motion, shape and texture information are coded respectively.
实验结果表明，该方法能有效地分割和跟踪视频运动对象，且能有效减少计算复杂度，其调整参数也较少。
Experimental results demonstrate that this method is effective to segment and track video moving objects. More, the number of parameters updated is the least.
最后，视频对象的准确边界的提取综合运动口罩和地区分割多分辨率的分水岭。
Finally, the video object with accurate boundaries is extracted by integrated the motion mask and regions segmented by multi-resolution watershed.
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。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
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。
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.
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 and tracking of video moving object is used for guiding the extraction of video object plane from the video sequence.
通过对体育比赛视频中的场地信息和运动信息的分析，提出了一种有效分割场地和运动员等对象的算法，并对此算法性能进行了讨论。
It proposes an efficient method to segment objects such as athletes and field in sport video by analyzing the information of visual and motion features.
针对基于对象的视频编码应用，提出了一种基于运动的区域生长分割方案，将图像分割成具有一致运动特征的区域。
This paper proposes a motion based region growing segmentation scheme for the object based video coding which segments an image into homogeneous regions characterized by a coherent motion.
实验结果表明，该方法可有效地从H264压缩视频中提取运动对象且分割质量较好。
Experimental results demonstrate that our approach can efficiently extract the moving objects from H264 compressed and as the segmentation quality is good.
提出一种视频的压缩域与像素域特征结合的运动对象分割算法。
An effective algorithm is proposed to segment moving object in compressed domain and pixel domain method combined.
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。
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.
应用推荐