For the first step, a morphology operator-based video motion object segmentation algorithm is proposed.
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。
The techniques of digital image mosaics from video sequence consist of image global fast registration algorithm, motion object segment algorithm, and seamless blending algorithm.
基于视频序列的数字图像拼接技术主要包括全局快速配准算法、运动目标分割算法和无缝融合算法。
Proposes an algorithm to determine the true motion vectors of the feature regions for object based video coding and segmentation applications.
针对物体基视频编码与分割应用，提出了求取特征区域真实运动矢量的一种算法。
On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.
在对现有视频运动分析方法进行分析比较的基础上，提出了一种基于视频中运动对象的运动特征提取方法。
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 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 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.
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 makes a deep insight into two problems of object-based fine granular scalable video coding in the wavelet domain, namely video object coding and motion estimation techniques.
本文对基于对象的小波域视频细粒度可分级编码中的两个关键问题，即视频对象编码和运动估计技术进行了深入研究。
Motion features in video can usually be divided into two types. They are global motion, which is caused by camera motion, and local motion, which is caused by video object motion.
视频中的运动特征通常可以分为全局运动和局部运动两种，分别表示摄像机运动和视频对象运动的特征。
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。
The object researched in this thesis is video-based human motion analysis that track, capture and analysis human motion in video.
本文的研究对象是基于视频的人体运动分析即在视频序列中对人体的运动进行跟踪，捕捉和分析。
The object researched in this thesis is video-based human motion analysis that track, capture and analyze human motion in monocular video.
研究对象是基于视频的人体运动功能分析技术，即在视频序列中对人体的运动进行跟踪、捕捉和分析。
Motion estimation, which may refer to image-plane motion (2-D motion) or object-motion (3-D motion) estimation, is one of the fundamental problems in digital video processing.
运动估计，包括二维的平面估计和三维的立体估计，是数字视频处理中一个很基本的问题。
Motion estimation, which may refer to image-plane motion (2-D motion) or object-motion (3-D motion) estimation, is one of the fundamental problems in digital video processing.
运动估计，包括二维的平面估计和三维的立体估计，是数字视频处理中一个很基本的问题。
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