Description: 使用Kalman滤波实现二维图像中目标的轨迹跟踪源代码
这个程序通过Kalman滤波实现目标轨迹跟踪，并预测目标下一出现的位置。它通过背景相减实现目标检测，然后把输出的结果交给Kalman滤波器，预测出下一出现的位置（红色），可以和实际出现的位置（绿色）相比较。
-The use of Kalman filtering to achieve the goal of two-dimensional image of the trajectory tracking of the source code of this process through the Kalman filter for trajectory tracking of goals and objectives of the next prediction appear. Through background subtraction to achieve target detection, and then output the results to the Kalman filter, prediction next appear (red), can occur and the actual position (green) compared. Platform: |
Size: 6144 |
Author:lcp |
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Description: 该视频是在静态背景下利用背景减除法对运动目标进行检测，图像为二值化后的图像。-The video is in the static context of the use of background subtraction method to detect moving objects, images for binarization image. Platform: |
Size: 499712 |
Author:张进 |
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Description: 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 Platform: |
Size: 1024 |
Author:panda |
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Description: A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approaches to this
problem differ in the type of background model used
and the procedure used to update the model. This paper
discusses modeling each pixel as a mixture of Gaussians
and using an on-line approximation to update
the model. The Gaussian distributions of the adaptive
mixture model are then evaluated to determine which
are most likelyt o result from a background process.
Each pixel is classified based on whether the Gaussian
distribution which represents it most effectivelyis considered
part of the background model. Platform: |
Size: 186368 |
Author:ajinkya |
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Description: 。此算法是对灰度图像的处理，主要包括背景减
除、二值化、阴影检测、后处理等几个模块。-. This algorithm is a gray image processing, including background subtraction, binary, shadow detection, post-processing, and several other modules. Platform: |
Size: 277504 |
Author:xxx |
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Description: 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtraction method for edge detection, image color distribution histogram of the correlation processing, face recognition algorithm. Platform: |
Size: 6144 |
Author:张桦 |
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Description: 通过一个图像序列来创建背景图像，用于背景差分-Through an image sequence to create a background image for the background subtraction Platform: |
Size: 1024 |
Author:C_man |
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Description: 利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background Platform: |
Size: 1024 |
Author:justin |
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Description: 背景差法OpenCV实现程序代码,此代码是基于vc环境下的对图像的处理的代码 -OpenCV background subtraction method to achieve the program code, the code is based on the vc environment for image processing code Platform: |
Size: 6144 |
Author:刘宁 |
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Description: Background subtraction -to extract the background information from the image.
Segmentation is adopted here-Background subtraction -to extract the background information from the image.
Segmentation is adopted here.. Platform: |
Size: 1024 |
Author:ishwarya |
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Description: 帧间差分法从多帧连续图像提取背景 另一个是通过背景提取运动物体-Interframe difference from the background of continuous multi-frame image extraction, the other is to extract moving objects by background Platform: |
Size: 2048 |
Author:师洪德 |
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Description: 这是我读“图像识别与人工智能”研究生是，在实验室做图像处理与跟踪实验所用的框架程序。里面已经包含了如下函数模块：
图像显示：单幅图像显示，连续文件名的序列图像显示，SRC（纯数据图像文件）序列图显示
图像滤波、增强：均值滤波，灰度拉伸，图像减背景并拉伸
图像分割：自适应门限阈值分割，基于梯度的分割，基于最大熵的分割，OTSU分割，
图像加噪：图像加入随机噪声，序列图加噪声
图像轮廓：轮廓提取（只能对0-255二值图），轮廓跟踪（只能对0-255二值图），
其他：图像差分，腐蚀，膨胀
说明：因为是实验室做实验用的，所以界面做的很简单，大家多多谅解。但内容还是听丰富的，既有师兄师姐们积累的成果，也有我的两年经验。各函数都有很详细的中文注释，希望能给大家带来帮助，少走弯路。-The software contains the following function modules:
Image display: single image, the image sequence of consecutive file names SRC (pure data image files) sequence diagram showsImage filtering, enhancement: the mean filter, gray stretch, the image background subtraction and tensileImage Segmentation: Adaptive threshold threshold segmentation, gradient-based segmentation, segmentation based on maximum entropy, OTSU split,Image noise: images by adding random noise sequence diagram plus noiseImage contours: contour extraction (only 0-255 binary image), the contour tracking (only 0-255 binary diagram)Other: image difference, erosion and dilationDescription: laboratory experiments, so the interface to do the very simple, we a lot of understanding. Or listen to the rich, both brothers Shijie accumulated results of two years experience. Each function has a very detailed notes in Chinese, I hope we can bring help to avoid detours. Platform: |
Size: 3980288 |
Author:罗蛟 |
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Description: 图像减操作，对图像进行灰度化，腐蚀预处理，之后进行用原图像减去处理后的图像，再对图像进行平滑处理，能有效去除图像背景中的噪声-Subtraction image, the image gray, etching pretreatment, after subtracting the processed image with the original image, and then the image smoothing, can effectively remove noise in the image background Platform: |
Size: 4563968 |
Author:Amy |
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