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采用 背景差分法快速检测运动目标的 算法 背景差分 opencv c-Rapid detection by background subtraction algorithm for moving target background subtraction opencv c++
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基于Opencv的帧间法,修改自Opencv书上的背景减除法,可以继续扩展-The frame-based Opencv method, adapted from the book Opencv background subtraction method can continue to expand
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由背景减除法得到前景,并用运动模板进行简单跟踪的程序。-Obtained by the prospect of background subtraction method and a simple template with a motion tracking procedure.
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This is a simple car tracking program coded in matlab, which background subtraction algorithm is adopted.
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简单的图像追踪程序,运用卡尔曼滤波-背景差法实现对物体的追踪和标注-Simple image tracking process, the use of Kalman filter- background subtraction to achieve the tracking and labeling of objects
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利用OPENCV 完成影片的背景相減法 可讀取.avi檔案-OPENCV complete movie using the background subtraction can be read. Avi file
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基于背景减除的行人跟踪,识别率还算说的过去-Pedestrian tracking based on background subtraction, the recognition rate still said in the past
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motion detection people tracking after performing background subtraction and blobs detection use for video suvelliance
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根据测距仪数据提取人体的代码。使用ada-boost分类器实现。同时包含matlab的实现,在linux下GCC编译。
作者:Luciano Spinello-People2D provides an efficient implementation of the people detector in 2D data originally developed in Human Detection using Multimodal and Multidimensional Features (
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遍历某目录下文件 背景差法 求出动目标 并标记出来 包含读取连续帧图像-Traverse a directory file background subtraction method for the target and mark it out to read consecutive frames containing
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这是一个关于视频图像处理的,里边包含了帧间差分检测,背景差发检测。应用到了图像处理的相关技术-This is a video image processing, and inside contains a frame difference detection, background subtraction hair testing. Applied to image processing technologies
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一个自己写的前景提取程序,采用背景减除法得到运动前景,背景通过统计平均得到。-a matlab code for foreground Extraction , using background subtraction method to get moving foreground ,and we get the background by statistical averaging.
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this is a code in background subtraction
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background subtraction technique
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By this we can subtract the backgrounds of the two images
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dissertation about moving object detection and tracking
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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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background subtraction using matlab
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改进的背景差分法,结合了背景差分法和帧间差分法的优点,能更好的进行视频处理。-Improved background subtraction method, combining the advantages of the background difference and frame difference method, and better video processing.
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利用sift算法,对运动图像进行运动轨迹的识别,先进行高速模糊,背景相减,在进行特征提取-Sift algorithm, the identification of trajectories of moving images, the first high-speed blur, background subtraction, during the feature extraction
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