This paper proposes a moving car segmentation method based on improved OTSU method.
提出一种基于改进OTSU方法的运动车辆分割算法。
The segmentation for moving pictures is important in content-based video encoding and video retrieval.
运动图像的分割在基于内容的视频编码及视频检索中占有重要的地位。
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。
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；
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。
Change detection, mapping parameter estimation, moving objects and background detection are used to implement image motion segmentation.
通过变化检测，映射参数估算，运动区域和背景检测来实现运动分割。
In this paper, an automatic segmentation algorithm for moving objects in video sequences based on dynamic background construction is proposed.
提出了一种基于动态背景构造的视频运动对象自动分割算法。
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。
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。
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。
A new fast moving object Segmentation method is proposed.
提出一种新的快速运动目标分割方法。
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。
Then study in the video analysis technologies applied in target detection, include tasks and processes of moving target detection and commonly used methods of image segmentation.
主要研究了视频分析技术在目标检测中的应用，包括运动目标检测的任务和流程，以及常用的图像分割方法。
A target extraction algorithm based on the background segmentation technology was proposed in this paper for the water surface moving targets in the complex background.
基于背景分割技术提出了一种复杂背景下水面运动目标提取算法。
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.
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。
The real-time segmentation mainly adopts an improved algorithm based on the elimination of the shadow, to divide the moving target and by matching the template, separate the overlapping vehicles.
实时分割主要采用一种基于阴影消除的方法，通过模板匹配，从而达到分割重叠车辆的目的。
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。
This paper presents a new automatic video sequence segmentation algorithm that extracts moving objects.
提出了一种提取运动对象的新的视频序列分割算法。
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；
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。
Experimental results demonstrate that our approach can efficiently extract the moving objects from H264 compressed and as the segmentation quality is good.
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。
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。
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。
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。
An image segmentation method based on the velocity feature vector of moving target was proposed.
研究基于速度特征矢量提取运动目标的图像分割方法。
This paper represents a simple moving foreground segmentation method in video sequences only using their temporal information.
针对视频序列，仅利用其时域信息，提出了一种简单有效的运动前景分割算法。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
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.
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。
应用推荐