初始的模型自动产生，再利用滤波技术滤除静止背景。
The stationary background is removed by a filtering technique.
本文对静止背景下视频序列中的运动人体检测和跟踪方法进行了研究。
This paper discusses detection and tracking of moving human target from static background in video sequences.
利用单通道sar图像中静止背景的信息抑制静止杂波，可改善检测动目标的性能。
If the information about fixed clutter in SAR image can be used to suppress the background clutter, the detection of moving target will be easy.
本文主要研究静止背景下运动目标的检测和提取，以及运动目标跟踪等方面的内容。
Target tracking technology has been used in many important areas, so the technology has become a major research.
实验结果表明在静止背景的图像序列中，该方法比传统方法能更好地检测出以不同速度运动的目标。
The results show that the algorithm can accurately and validly detect different objects with different velocities in static background.
在研发一种数码相机智能自拍系统的基础上，提出了一种简单有效的基于静止背景下目标人体的检测方法。
Based on designing an intelligent self-timer system for the Digital Camera, a simple and effective approach was given to detect and locate the human body based on the still background.
本文通过分析几种现有的静止背景下的波门跟踪算法的基本原理，提出了其在运动背景下的对运动目标的跟踪方案；
Through the analysis of window tracking algorithm which is usually based in static background, a solution is proposed to apply the algorithm to the condition of dynamic-background.
你可以从一系列预装的漂亮图片中或从你的设备中选择背景图片，可以是单幅静止显示，也可以是多幅图像的幻灯播放。
You can choose backgrounds from a selection of beautiful pre-loaded images or ones from your device, either as a static display or slideshow of multiple images.
我们不希望这样，我们希望背景幕保持静止，而只移动方块。
We don’t want that, we want it to remain still and only move the geometry.
请记住，背景图像选择静止还是活动对可视化的清晰度影响重大。
Keep in mind that the choice to have a static or moving background image can create many issues with the clarity of the visualization.
现在，我们如果旋转视角，背景图像仍会保持静止。
Now if we rotate the viewport the background image will remain still.
此算法特别适用于前景对象的运动较激烈和非刚性形变较大而背景是静止的序列。
This algorithm is much suitable for sequences with little motion and stationary or moving background.
该方法特别适合静止摄像机的背景估计，在背景配准后也适用于移动摄像机的背景估计。
The method is very suitable for a stationary camera and is also suitable for a moving camera after background alignment.
针对背景相对静止的视频序列，提出了基于CNN差分图象合并的视频分割算法，并构建了与该算法相关的五个CNN模板。
Aim at video sequences with static background, the difference merged image algorithm based on CNN is presented. In order to realize the algorithm, five CNN templates are constructed.
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.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
本文采用了基于跟踪的系统框架，并利用背景建模的方法，配合静止摄像机来检测视野中的运动物体。
The framework that I choose for the surveillance system is based on tracking. I only deal with static camera at this moment, so background modeling is a suitable way to detect the moving objects.
针对背景静止的立体视频提出了一种快速的基于背景重构的视频分割算法。
A fast video segmentation algorithm based on background reconstruction is proposed for stereo video with static backgrounds.
此外，针对背景静止的特殊情况，本文介绍了一种通过背景估计进行视频分割的思路，并且提出了一种自适应的背景估计方法。
In addition, for the special case of stationary background, this paper introduces an idea of video segmentation through background estimating and proposes an adaptive method for background estimating.
首先把图像序列中相对静止的部分提取出来作为背景，利用差分图像对道路上的运动物体进行分割，并在此基础上实现对每条车道上的车辆的跟踪。
Firstly the relatively static proportion of the video was extracted and the moving objects were segmented using differencing image algorithm. Then vehicles were tracked in divided road lanes.
本论文以第五届全国机器人大赛为背景，设计一个能在静止的场地上有目运动的机器人。
In the background of 5th robot Contest, a robot is designed and it could move with purposive task in static environment.
在这种背景下，新一代静止图象压缩标准JPEG2000便应运而生了。
In this context, a new generation of geostationary JPEG2000 image compression standards will come into being by.
在这种背景下，新一代静止图象压缩标准JPEG2000便应运而生了。
In this context, a new generation of geostationary JPEG2000 image compression standards will come into being by.
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