【Key words】 moving object extraction； foreground segmentation； mixer Gaussian models； motion estimation； video surveillance；
基于6个网页-相关网页
moving foreground segmentation 目标检测
foreground object segmentation 前景目标分割
foreground and background segmentation 前景背景分割
foreground object detection and segmentation 前景目标的检测和分割
A surveillance experiment system based on foreground segmentation technology is presented. Information of the moving object is gotten from the specific environment by foreground segmentation arithmetic,from which exception is confirmed.
开发了一种嵌入式数字图像监控系统,采用基于背景差的前景分割运算和基于帧间差的动态背景更新算法对监控场景进行前景分割,提取运动目标信息,完成异常判断后,通过网络将异常信息及关键图像序列传送到监控客户端。
参考来源 - 基于图像前景分割的嵌入式智能监控系统 in COn the basis of the work above, this dissertation makes an improvement to the error control program based on picture-partition and FMO to solve the defect of high bit-rate and the improper foreground segmentation.
在对各种抗误码技术进行研究的基础上,本文针对基于图像分割的FMO联合模式差错控制方案中存在的前景分割及码率过高的问题进行了改进和实现。
参考来源 - 无线环境下基于H.264的抗误码技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
This algorithm consists of foreground segmentation, human head location, human body parts identification, human model construction etc.
该算法主要包括背景建模与前景提取、人体头部定位、人体肢体提取和人体建模几个部分。
Modify the segmentation function so that it only has minima at the foreground and background marker locations.
修改分割函数，使其仅在前景和后景标记位置有极小值。
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