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。
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；
Video moving object analysis is a new kind of media information processing technology, which is focused on the video content analyzing and processing technology.
视频运动目标分析是以视频内容分析和处理为核心技术的一种新型媒体信息处理技术。
This paper mainly discusses on the essential part of video moving object analyzing technology-moving objects tracking algorithm and the standard description of moving objects tracking results.
本文主要研究监控视频的运动目标分析的基础部分：基于特征匹配的运动目标跟踪算法以及跟踪结果的标准化描述。
To satisfy the need of video moving object locating in intelligent video surveillance scenes, video moving object locating technology based on nonparametric kernel density estimation is proposed.
针对智能视频监控场合对视频运动目标定位的需求，本文提出了一种基于非参数核密度估计的视频运动目标空域定位技术。
This paperintroduces a method of detecting moving object using sequence images in video.
介绍了一种在视频中运用序列图像检测运动目标的方法。
The algorithm can process video sequence automatically with moving background, static background or the video sequence that both object and background are all static.
该算法可以自动提取动态背景、静态背景，也可以在视频序列中出现背景和对象都停止变化时实现视频对象的提取。
We capture a moving object in simultaneous video clips and extract only the moving object in each frame in the clips.
我们从同步拍摄中捕捉移动的物体，并且从每一帧图像中截取移动物体。
Shape, dimension, moving direction, rotating direction and light radiation intensity are important dynamic characteristics of the object in space telemetry and telecontrol video auto-tracking system.
形状、尺寸、运动方向、旋转方向和光辐射强度等变化是航天测控视频自跟踪系统目标的重要动态特性。
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。
In this paper, we present a moving object detection method for outdoor background according to the development of an intelligent object monitoring and tracking system based on video images.
本文结合一个基于视频图像的智能野外监控系统的开发过程，提出了一种野外背景下运动目标的检测方法。
This paper presents an embedded system based on the rapid-pixel search algorithm, as well as video coding algorithm combining the moving object detection algorithm.
本论文提出了一种基于嵌入式系统的快速子像素搜索算法，以及与视频编码算法相结合的运动物体检测算法。
The system is running in the four states to accomplish the detection and tracking of the moving video object.
系统按照搜索、捕获、跟踪、记忆跟踪四个状态及其转换运行，以实现运动目标的实时检测与跟踪。
The study of moving object based on video sequence has its positive significance in all areas.
基于视频序列的移动物体提取在各领域有着积极的研究意义。
An automatic and accurate moving object extraction algorithm is proposed to segment head-shoulder video sequence.
针对头肩视频序列，本文提出了一种头肩视频对象的自动精确提取算法。
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。
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 experimental results demonstrate that the proposed algorithm can detect and track the moving object consecutively in video and has better robustness to occlusion.
实验结果表明，该算法能对视频中的运动目标实现检测和连续跟踪，对遮挡也有较好的鲁棒性。
Video surveillance system has been used widely nowadays, and the moving object detection at sea, especially, has become a key step in security surveillance.
当前，视频监控在各行各业得到了广泛的应用，尤其是海上运动目标的检测，已经成为安防应用的重点。
It decomposes sequences into video object planes (VOPs) so that each VOP represents one moving object.
它把图像序列分解成视频对象平面(VOP)，每个VOP代表一个运动对象。
So, it is necessary to study the segment and the tracking of moving object in video image.
因此，有必要研究细胞神经网络在视频序列图像中目标分割和追踪的应用及其相关算法。
This paper proposes a novel method for moving object detection from a video in medical gait analysis which contains not only stationary background objects but also moving background objects.
针对医学步态分析中的复杂场景下运动目标检测问题，提出了基于贝叶斯决策规则的方法。
This paper proposed a fast moving object detecting algorithm based on the quality of video streaming continuity.
提出了一种基于视频流连续性的快速运动目标检测算法。
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。
It is verified by the working of the monitor that the system can detect the moving object from video sequence well, and has a good anti-jamming ability.
实际应用表明，本文所设计的运动目标检测系统能很好地检测出运动目标，并具有较好的抗干扰能力。
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。
This paper studied technologies of moving object detection and video surveillance tracking, and presented target tracing project which had applied a successfully.
本文详细地探讨了基于视频的移动目标检测和视频跟踪技术，并给出了一个成功的应用实例。
Moving object detection and tracking in video sequences based on boundary vector field;
本论文的主要工作是研究动态背景下的运动目标检测和跟踪。
Moving object detection and tracking in video sequences based on boundary vector field;
本论文的主要工作是研究动态背景下的运动目标检测和跟踪。
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