This thesis is focused on semiautomatic video object segmentation and tracking.
本文主要研究半自动的视频对象分割与跟踪。
Object-based video coding mostly includes video object segmentation and video object coding.
基于对象的视频编码主要包括视频对象的分割和视频对象的编码两部分。
Video object segmentation is the one of the focus in the field of image and video processing.
视频对象分割是当前图像和视频处理的热点和难点之一。
Experimental results show that the algorithm can accurately and robustly segment the video object.
实验结果表明，本文提出的算法能精确、鲁棒地分割出视频对象。
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。
Video object extraction has been a most discussed topic in the field of modern information processing.
视频对象提取是现代信息科学领域的一个研究热点。
The well-known "singularity" problem is one of the major defects in kernel-based video object tracking.
“无穷多解”问题，是基于核函数的视频物体跟踪算法的主要问题。
Automatic extraction of motion region in video sequence is critical to the generation of a video object.
视频运动区域的自动提取是视频对象生成的关键。
The video object tracking system is implemented. The above algorithms have been realized by experiments.
实验证明改进的算法具有较高的实时性，视频对象的跟踪得以实现。
The performance of video object segmentation algorithm has the direct effect on quality of MPEG-4 products.
视频对象分割算法的性能好坏将直接影响MPEG-4编码产品的质量。
Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding.
视频目标分割与立体匹配是目标基立体视频编码中的核心技术。
A robust and novel method for video object contour tracking by improving the dual-front active contour model.
对双前沿活动轮廓模型进行了改进，提出一种鲁棒的视频目标轮廓跟踪新方法。
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。
For the problem of video object segmentation, a new approach was presented to video object extraction and tracking.
针对视频对象的分割问题，提出了一种新的视频对象提取与跟踪方法。
On the basis of difference edge mask and current edge mask, a binary edge model of the video object is initialized.
其次在相邻帧差分边缘和当前帧边缘的基础上，检测出视频对象的初始边缘模板。
MPEG-4 standards are described in brief. Based on this, audio object coding and video object coding are emphasized.
简要介绍了MPEG - 4标准的主要内容在此基础上着重介绍了音频对象的编码和视频对象的编码。
Recently, as a difficult problem in video object tracking non-rigid object tracking has received much more attention.
近年来，非刚体目标跟踪技术作为视频目标跟踪中的一个难点受到了广泛关注。
The video object generated in this paper utilizes the technology of motion-changed region detection and edge detection.
通过采用运动变化区域检测和边缘检测技术来生成视频对象。
This paper presents a video model suited for video object composition and analyzes the structured feature of video object.
提出适合视频对象合成的结构化视频模型，分析视频对象的结构特点。
Finally, we applied heuristic search method to link video object contour's edge points, sequentially extracted video object.
最后，采用启发式搜索方法连接视频对象轮廓边缘点，进而提取出视频对象。
The position of the face can initialize the parameters of face tracker to realize fast face tracking and video object coding.
用检测到的人脸位置来初始化跟踪算法实现快速人脸跟踪；
The result of experiment shows that this algorithm can pull foreground video object from a complicated background effectively.
实验结果表明，该算法可以有效实现对复杂背景下前景目标的提取。
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；
Similarly, in an object-based framework of the suggested MPEG-4 standard, key video object can summarize the content of video objects.
类似地，关键视频对象可以表示基于MPEG - 4对象框架的视频内容。
Video object segmentation can be divided into automatic segmentation and semiautomatic segmentation according to the user-assisted degree.
按照人工参与程度的不同，视频对象分割可分为自动分割和半自动分割。
Finally, the video object with accurate boundaries is extracted by integrated the motion mask and regions segmented by multi-resolution watershed.
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。
To realize video object segment, we proposed one algorithm base on Bayes decision-making theory with least risk and video sequence edge information.
为了实现较完整的视频对象分割，提出了一种基于视频图像边缘信息和最小错误率的贝叶斯决策理论的视频对象分割算法。
Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia application.
视频对象分割技术同时也是基于内容的视频编码、视频内容操作和交互式多媒体等应用的重要工具。
Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia applications.
视频对象分割技术同时也是基于内容的视频编码、视频内容的操纵和交互式多媒体等应用的重要工具。
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。
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