视频运动目标检测与跟踪算法是计算机视觉领域的一个核心课题，也是智能视频监控系统的关键底层技术。
The detection and tracking algorithm of video motion objects is one of hotspots in the field of computer vision. It's also the key intelligent technology of video surveillance system.
介绍了一种在视频中运用序列图像检测运动目标的方法。
This paperintroduces a method of detecting moving object using sequence images in video.
视频图像序列中运动目标的检测与跟踪是计算机视觉和图像处理领域广泛研究的热点之一。
Moving targets detection and tracking in video sequences is one of the hotspots that having been widely researched in computer vision and image processing fields.
最后，可以得出影响运动目标检测的杂波散射元的视频信号。
Finally, the cohered video of clutter affecting the detection of moving target can be obtained.
本文提出了一种视频序列中运动目标检测的方法。
This paper presents an algorithm of detecting moving objects in video sequences.
本文结合一个基于视频图像的智能野外监控系统的开发过程，提出了一种野外背景下运动目标的检测方法。
In this paper, we present a moving object detection method for outdoor background according to the development of an intelligent object monitoring and tracking system based on video images.
针对实时视频中的运动人体目标，提出一种基于人脸肤色和特征的快速人脸检测和跟踪方法。
For fast detecting and tracking human face in real-time video, a method based on the color and character of face was proposed.
运动目标检测是计算机视觉、视频处理等应用领域的重要研究内容。
Moving objects detection is an important research aspect of computer vision and video processing.
为了实现视频监控的智能化，文中最后探讨了一种基于视频序列象素时空相关性检测的运动目标检测算法。
In order to realize intellectuality of video monitoring, we finally discuss a kind of motion detection algorithm on the basis of video array space-time relativity in the article.
因此，复杂场景下的运动目标检测成为智能视频监控研究的热点和难点，对其的研究有着重要的理论意义和实用价值。
Therefore, Moving target detection is an important research focus in intelligent video surveillance under complex scene, its research has important theoretical significance and practical value.
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.
在低信噪比条件下，要从图象中以视频速率检测出运动目标存在不少困难。
Many difficulties are existed when the moving objects will be detected from the image with video rate under the conditions of low SNR.
本文重点研究了在MPEG压缩视频流中的运动目标检测与跟踪问题。
This thesis focuses on moving object detection and tracking in MPEG-compressed videos.
从视频运动背景中检测与跟踪运动目标通常需要对背景进行补偿校正。
The compensation of motion background is always necessary for detection and tracking motion object.
实验结果表明，本算法相对于均值偏移算法有较好的改进，能对视频中的运动目标实现检测和连续跟踪，对遮挡也有较好的鲁棒性。
The results demonstrated that the algorithm has great improvement relative to mean shift, it could detect and track the video moving target continuously and had preferable robustness for occlusion.
实验结果表明，该算法能对视频中的运动目标实现检测和连续跟踪，对遮挡也有较好的鲁棒性。
The experimental results demonstrate that the proposed algorithm can detect and track the moving object consecutively in video and has better robustness to occlusion.
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.
当前，视频监控在各行各业得到了广泛的应用，尤其是海上运动目标的检测，已经成为安防应用的重点。
Video surveillance system has been used widely nowadays, and the moving object detection at sea, especially, has become a key step in security surveillance.
在对视频监控中运动目标检测识别常用算法进行研究的基础上，本文提出了一种新的基于两帧差分法和背景差分法相结合的运动目标检测方法。
According to the study of main motion detection and moving objects extraction methods, a new method combining frame-difference and background-difference was put forward.
提出一种基于背景码本模型的视频图像中运动目标的检测算法。
In this paper an algorithm of moving objects detection in video image was proposed, which is based on the background codebook model.
运动目标检测与跟踪是计算机视觉研究的基础任务和关键技术之一，在视频监控、视频会议、人机交互等领域有着广泛的应用。
Moving target detection and tracking, which has had many years of research history, is one of the foundation tasks as well as it is one of the key technologies in computer vision.
由于外界环境的复杂性，视频监控中检测出的运动目标往往轮廓缺损，并伴随阴影和噪声等问题。
Due to the complexity of the external environment, moving target detected in video surveillance always possessed contour defects, as well as shadow and noise problems.
运动目标检测是计算机视觉、视频处理等应用领域的重要研究内容。
Research on imaging of scenario and moving targets detection by airborne synthetic aperture radar;
该噪声值可以用于视频降嗓器、运动目标检测和图像边缘检测等实时系统，对视频信号进行自适应处理。
It can be used as adaptive control of video signal. These real-time processing system contain real-time noise reduction, realtime detection of moving targets, edge detection and others.
当有运动目标出现时，摄像机便会自动采集视频直至运动目标静止或离开检测范围。
While the object is found , the camera will automatic capture the video until the object is motionless or out of the range of detection.
提出了一种基于视频流连续性的快速运动目标检测算法。
This paper proposed a fast moving object detecting algorithm based on the quality of video streaming continuity.
重点研究了静止的单摄像机所拍摄的视频中运动目标的检测，运动目标的阴影抑制以及运动目标跟踪等方面。
The paper focuses on moving object detection, shadow inhibition and moving object tracking and so on in the single stationary camera environment.
重点研究了静止的单摄像机所拍摄的视频中运动目标的检测，运动目标的阴影抑制以及运动目标跟踪等方面。
The paper focuses on moving object detection, shadow inhibition and moving object tracking and so on in the single stationary camera environment.
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