Description: 用于点状目标的检测，计算出具体的位置和微弱点状运动目标的速度，用于目标跟踪
-For point target detection to calculate the specific location and weak point of the speed of moving objects for target tracking Platform: |
Size: 619520 |
Author:王明 |
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Description: 本代码实现对运动物体的跟踪，在运行程序时，会有一红色矩形框标记运动物体位置-The code tracking of moving objects, run the program, there will be a red rectangle marks the location of moving objects Platform: |
Size: 1196032 |
Author:zhaohai |
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Description: 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 the background subtraction method to track moving objects detection Platform: |
Size: 3072 |
Author:凯伊路 |
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Description: 用MATLAB对视频中的动态目标进行跟踪检测（包含单目标和多目标）。-Using MATLAB to achieve the detection of moving objects in the video stream, static background single target and multi-target detection. Platform: |
Size: 1208320 |
Author:周峰 |
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Description: 这是一个混合高斯模型的MATLAB程序，能够实现运动目标检测阶段，仅供初学者参考。-This is a mixed Gaussian movement target detection MATLAB program, can achieve the initial detection of moving objects, only for beginners reference Platform: |
Size: 2048 |
Author:郑加敏 |
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Description: 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.
Detection of moving objects and motion-based tracking are important
components of many computer vision applications, including activity
recognition, traffic monitoring, and automotive safety. The problem of
motion-based object tracking can be divided into two parts:
# detecting moving objects in each frame
# associating the detections corresponding to the same object over time
The detection of moving objects uses a background subtraction algorithm
based on Gaussian mixture models. Morphological operations are applied to
the resulting foreground mask to eliminate noise. Finally, blob analysis
detects groups of connected pixels, which are likely to correspond to
moving objects.
The association of detections to the same object is based solely on
motion. The mo Platform: |
Size: 1024 |
Author:窝 |
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Description: 在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications) Platform: |
Size: 346112 |
Author:夙愿
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