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运动物体检测中背景减除法和时间差分法的实现，包括平台的搭建。,Moving object detection in background subtraction method and time-difference realization of the structures including the platform.
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背景减除法 Opencv 运动物体检测 ROI区域检测-Background subtraction method for moving object detection Opencv ROI region detection
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该程序利用opencv图像处理库编写了用于检测运动目标的程序。采用的目标提取算法是背景减除法-The program using opencv image-processing library was prepared for the detection of moving targets in the process. Object extraction algorithm used in background subtraction method are
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Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery
by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。
本程序基于OpenCV。-Forwar
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基于背景差法的运动物体检测程序，可从视频，或者设想头读取数据，编译环境VC加加2008-Background subtraction method based on moving object detection procedures, from the video, or read the first idea, build environment VC Gaga 2008
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Why to choose Background Subtraction Algorithm for Object Detection
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运动目标检测 背景减除 摄像头捕获视频 -Motion object detection background subtraction
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This
system consists of human detection, human tracking
and false object detection. The human detection
utilizes the background subtraction to segment the
blob and use codebook to classify human being from
other objects. The optimal design
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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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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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基于背景差分的视频目标检测，matlab代码，-Video object detection based on background subtraction, matlab code
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背景差分实现目标检测，用到opencv库函数-Background subtraction to achieve target detection, use opencv library functions
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opencv接口，sobel算子和背景差分算法得到简单背景下实现运动物体的检测-opencv interfaces, sobel operator and background subtraction algorithm is simple backdrop for moving object detection
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采用背景减除法实现的目标检测，适用于摄像机不懂，背景相对静止的情况-object detection that realised by background subtraction
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MOVING OBJECT DETECTION USING BACKGROUND
SUBTRACTION ALGORITHM USING SIMULINK
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使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法，检测出烟雾区域以及疑似烟雾区域；接着用背景相减的方法，检测出运动的物体；最后结合两种方法，只检测出运
动的烟雾区域，提取烟雾最大轮廓，绘制矩形框以示意。通过设置R、G、B的参数及阈值，可以得到满意的效果。
-Use VS2010+openCV. This paper is based on the color model and motion model for sm
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基于帧间差分的单目标/多目标的实时跟踪程序，基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2014 The MathWorks, Inc.
Detec
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In this paper, the Detection of the Moving Object is done based on Background Subtraction & Frame Differencing techniques. A moving object can be detected by employing various methods such as, by taking the difference between two Images.
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