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获取视频,使用背景减差法来检测出运动目标,为了得到目标的主轴方向,提出了边缘梯度法。实验证明,该方法效果明显。使用EKF和UKF来对目标进行跟踪。将跟踪结果和目标检测结果进行了比较,说明了不同滤波跟踪方法的效用。-Access to video, use the background subtraction method to detect moving targets, targets in order to get the main axis direction of the edge gr
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实现视频的读取，并使用背景差分法检测出视频中的运动目标-The video of the read, and use background subtraction to detect moving objects in video
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为了准确地对监控场景中的运动目标进行语义上的分类， 提出了一种基于聚类的核主成分分析梯度方向直方图和二叉决策树支持向量机的运动目标分类算法．利用背景减法提取运动目标前景区域， 并识别出潜在候选运动目标．利
用提出的基于聚类的核主成分分析的梯度直方图描述子提取候选运动目标的特征， 以较低维数的数据有效地描述运动目标的有效特征． 将提取的运动目标特征输入二叉决策树支持向量机， 实现多类目标的准确分类． 通过在不同视频序列上的实验验证， 提出的算法对运动目标进行较好地分类， 而且在运算速度方面较传
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背景减除目标跟踪方法在Matlab中的实现,通过利用视频前几帧的图像分析处理得到背景信息，然后利用背景差法实现运动目标的跟踪检测-Background subtraction target tracking method in Matlab to get background information through the use of the first few frames of the video image analysis and processing, and then use th
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由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
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Segmentation of moving objects efficiently from video sequence is very important for many applications. Background subtraction is a common method typically used to segment moving objects in image sequences taken from a statistic camera. Some existing
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进行背景识别，在背景识别及算法中得到充分的应用。可以检测视频，作背景减法，计算重心-Background to identify, to be fully applied in the background to identify and algorithms. Can detect video for background subtraction to calculate the center of gravity
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运动目标识别，从视频中提取出背景，然后采用背景差除法和开闭运算法，能够很好的识别出运动中物体-Moving target identification, extracted from the video out of context, and then using background subtraction method of division and opening and closing operations, can well identify objects in motion
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Identification of regions of interest in the field of view of a camera from the standpoint of occurring dynamics (movement, other changes), often called background subtraction, is a core task in many computer vision and video analytics problems.- Id
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Tracking moving objects in video sequence is an important
problem in computer vision, with applications several
fields, such as video surveillance and target tracking. Most
techniques reported in the literature use background subtraction
tech
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Background subtraction matlab code for object motion estimation and tracking in video
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对图片和视频进行处理，在opencv中对视频进行加噪去噪，以及背景差分法对它进行背景提取。-The image and video processing, opencv in the video noise denoising, and background subtraction method for background extraction.
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在opencv中对视频用背景差分法对它进行背景提取。-The image and video processing, opencv in the video noise denoising, and background subtraction method for background extraction.
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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.
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