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There are many approaches for motion detection in continuous video streams. All of them are based on comparison of current video frame with one from the previous frames or with something that we ll call background. In this article I ll try to describ
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本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
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在视频服务器中，一个重要的功能是实现移动侦测和录像功能。本源码中实现了多线程、多路视频的视频移动侦测。-In Digital Video Recording [DVR] System, one most important feature is the Video Motion Detection. Most DVR is consisted by multi video capture cards. The card number sometime will be up to 16. In o
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Motion Detection Algorithms
There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we ll call background. I
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matlab下使用帧差法实现视频跟踪，提供了一个测试视频和完整的说明文档。下载后可以直接在matlab环境下运行。-matlab using frame difference for video tracking, provides a test video and complete documentation. Download matlab environment can be run directly.
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利用MATLAB语言编写的运动检测程序，可以实现视频中的运动物体检测。-MATLAB language using the motion detection program that can realize video in moving object detection.
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Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
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Real-time motion detection in video surveillance using a level
set-based energy functional
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本文实现了在连续视频数据流中几种不同的运动检测算法，他们都是基于当前帧图像和前一帧图像的比较，程序使用了AForge.NET framework库。其中的示例代码支持下面几种视频格式：AVI文件、网路相机的JPEG和MJPEG，本地的采集设备(USB相机等)。
-Some approaches to detect motion in a video stream. There are many approaches for motion detection in a continuous v
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对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究，利用灰度图像差分双向投影信息检测人体目标，提出一种基于统
计运动区域几何特征固定比例的分割算法，使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using
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在道路交通管理中，为了获得车辆的运动数据，早期经常采用的是感应线圈等硬件测量的方法。而如果采用摄像头拍摄的道路视频，再用计算机软件处理的方法，则可以极大的增加方便性和灵活性。本文运动目标检测与跟踪研究如何让计算机从视频图像序列中获得物体运动数据。-Traffic management in order to obtain motion data of the vehicle, is a method often used early induction coil measurement hard
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：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-M
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A program using the OpenCV library which takes a video file and preforms vehicle and pedestrian motion tracking and detection outlining all the moving objects in the video.
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