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。
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。
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。
This paper presents an algorithm of moving objects segmentation in video sequence.
提出了一种视频序列中运动目标的分割算法。
However, there always exists relatively large number of false positives in the segmentation results near the edges of moving objects and it suffers from slow adaptation to the changing background.
但是，它的分割结果中在目标物边缘附近存在较多的虚警，而且还存在对变化的背景适应缓慢的问题。
An automatic method of the video-sequence segmentation is proposed in this paper, which can be used to segment moving objects in video sequences outdoors and indoors.
本文提出了一种自动的视频序列分割方法，适用于分割室外和室内视频序列中的运动物体。
In order to make full use of the spatial information, color segmentation and background model are combined to extract moving objects with pixel-wise precision.
为充分利用空间信息，提出将彩色图像分割与背景建模结合起来，得到具有精确边缘的运动目标。
In order to make full use of the spatial information, color segmentation and background model are combined to extract moving objects with pixel-wise precision.
为充分利用空间信息，提出将彩色图像分割与背景建模结合起来，得到具有精确边缘的运动目标。
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