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。
Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding.
提出了将高阶统计运动检测和多尺度分水岭相结合的视频目标分割算法。
An algorithm extracting video object is proposed by utilizing the HOS (higher order statistics) and multi-resolution watershed algorithm in video sequences.
首先进行视频对象分割，求出运动目标的形心。
Firstly, video objects were segmented and their centroids were calculated.
视频分割是目标识别的关键技术。
Video segmentation is one of the key technique of the object recognition.
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。
The techniques of digital image mosaics from video sequence consist of image global fast registration algorithm, motion object segment algorithm, and seamless blending algorithm.
提出了一种视频序列中运动目标的分割算法。
This paper presents an algorithm of moving objects segmentation in video sequence.
经过对新算法的实验测试，结果显示，对于象视频会议一类的目标简单、背景静止的视频序列，可以得到良好的分割结果。
Experimental results show that for such videos as in conference environment with still background and simple objects, the proposed algorithm can achieve good results.
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。
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.
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。
So, it is necessary to study the segment and the tracking of moving object in video image.
第三章介绍利用视频分割与粒子滤波实现多目标跟踪的算法。
In chapter three, we adopt the technique of video segmentation and particle filter to develop a new algorithm of multi-target tracking.
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 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 of video moving object is extraction of semantic area meet certain characteristics from video sequence.
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