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运动目标检测程序，能够有效地检测出cif视频中的运动目标-Moving object detection program that can effectively detect moving targets in the cif video
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运动物体检测的程序，能够检测出轻微的颤抖，在较好的摄像头的前提下-Moving object detection program that can detect a slight tremble in the premise of a good camera
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帧间差分法进行运动目标检测，适用于对摄像头采集到的视频进行实时检测-Interframe difference method for moving object detection, real-time detection for video captured on camera
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交通场景中运动目标的检测，背景差分，中值滤波，边缘检测-Traffic scenes in moving object detection, background subtraction, median filtering, edge detection
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运动检测系统 能够实现对BMP图像文件中的运动物体自动检测处理 画出运动轨迹-Motion detection system based on BMP image files of automatic moving object detection processing draw trajectory
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本程序使用帧间差分的方法实现了运动目标检测，但帧间差分法方法效果并不是很好。-This program uses the interframe difference method of moving object detection method the effect of inter-frame difference method is not very good.
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本论文是关于利用相邻帧和背景信息的运动对象检测-This paper is on the use of adjacent frames and background information of moving object detection
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读视频文件和运动物体检测；背景建模，运动物体检测-Read the video files and moving object detection background modeling, moving object detection
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完成光流法算法。用于图像边缘的提提取，运动目标的检测。可直接使用。
-Completion of the algorithm of optical flow method. Mention for image edge extraction, moving object detection. Can be used directly.
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运动目标的检测有很多方法，效果也各有差异，在这里介绍一种对运动目标的检测。-Moving object detection method, and the results vary, Here are a moving target detection.
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运动目标的检测有很多方法，效果也各有差异，在这里介绍一种卡尔曼滤波对运动目标的检测。-Moving object detection method, the effect also varies, where about one kind of Kalman filtering to moving target detection.
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运动目标的检测有很多方法，效果也各有差异，在这里介绍一种对运动目标的检测。运动目标的检测有 很多方法，效果也各有差异，在这里介绍一种对运动目标的检测。-Moving object detection method, and the results vary, Here are a moving target detection. Moving object detection method, and the results vary, Here are a moving target detec
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在非常多应用中，希望把运动着的物体检测出来，对其编号并进行跟踪，，最终的到其运动轨迹，本程序源码就是运动物体跟踪的框架
-Very many applications, to moving object detection, and its number and track its trajectory, the final source of this program is a framework for moving object tracking
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混合高斯背景建模 对运动物体进行检测 有助于初学者-Gauss mixture background model for moving object detection
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可以载入一段视频或者通过摄像头实时检测运动物体，利用去掉静止背景的方法得到运动的物体，代码已通过验证。-Can load a video camera or through real-time detection of moving objects, the use of get rid of static method of background get moving objects, the code already through the verification.
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完整的运动物体检测与跟踪算法法。OPENCV实现
-Complete the moving object detection and tracking algorithm method. OPENCV achieve
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关于目标检测的硕士论文，采用了三帧差分的方法来获取运动目标，然后采用CAM_shift的方法对运动目标进行跟踪。-Master' s thesis on target detection the three differential method to obtain the moving target, and then using CAM_shift methods to track the moving target.
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具有实时检测、跟踪和分析判断的智能化监控系统是智能化监控系统发展的必然趋势，本文提出一种在实时监控下检测和跟踪运动目标的方法，首先使用背景差分法检测出运动目标，并定期使用背景更新策略对参考背景进行局部更新，这样可以提高目标检测的精确度。目标跟踪时在不同的尺度空间获得目标的关键点，增强算法目标在遮挡情况下的鲁棒性， 接下来使用mean shift 算法估计目标在下一帧的位置。-Intelligent monitoring system with real-time detection, track
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运动轨迹提取,详细说明了运动物体的不通过应用。以及实现方法和程序代码-Trajectory extraction, detailed descr iption of the moving object by the application. And the realization of the method and program code
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There are two main contributions in this paper. The first is to propose a joint random
field (JRF) model that extends CRF by introducing auxiliary latent variables to
characterize visual scene over time and enhance moving object detection in vide
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