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[Special Effectstime-stepping

Description: 利用差分法基于opencv实现视频序列中的运动目标轮廓。-Difference method using opencv realize video sequence based on the moving object silhouette.
Platform: | Size: 1918976 | Author: 马连洋 | Hits:

[Special EffectsDelphi_MotionDetect

Description: 这是一个基于OPENCV,寻找运动目标轮廓,以实现视频流的运动目标检测为目的Delphi例子。 并带有Delphi与OpenCv的编程接口。-This is based on OPENCV, search for moving object silhouette in order to achieve video streaming of moving target detection for the purpose of Delphi examples. OpenCv with Delphi and the programming interface.
Platform: | Size: 1993728 | Author: 杨晓辉 | Hits:

[OpenCVDelphi_MotionDetect1

Description: 这是一个基于OPENCV,寻找运动目标轮廓,以实现视频流的运动目标检测为目的Delphi例子。 并带有Delphi与OpenCv的编程接口。-This is based on OPENCV, search for moving object silhouette in order to achieve video streaming of moving target detection for the purpose of Delphi examples. OpenCv with Delphi and the programming interface.
Platform: | Size: 1977344 | Author: hfpeiqing | Hits:

[OpenCVSilhouette

Description: OpenCV program to convert colour image into silhouette image.
Platform: | Size: 1024 | Author: siddharth | Hits:

[GDI-Bitmapaabcdef

Description: opencv轮廓的简单应用: 相关函数如下: cvFindContours,cvThreshold,cvContourArea,cvArcLength,cvBoundingRect,cvMinAreaRect2,cvBoxPoints,cvMinEnclosingCircle,cvDrawContours。 1.查找轮廓 2.按地址依次取出轮廓 3.计算轮廓的相关参数 4、根据实际需求做取舍,画出轮廓-opencv silhouette simple application: Correlation function as follows: cvFindContours, cvThreshold, cvContourArea, cvArcLength, cvBoundingRect, cvMinAreaRect2, cvBoxPoints, cvMinEnclosingCircle, cvDrawContours. 1 Find contours (2) Remove the outline followed by address 3 outlines the relevant parameters calculated 4, make a choice based on actual demand, draw the outline
Platform: | Size: 744448 | Author: 查改琴 | Hits:

[OpenCVCodebook_model

Description: Codebook model 视频抠像 xp sp3 + vs2005 + OpenCV 2.3.1-For a more detailed explanation of a “codebook” model refer to [reference: Gary Bradski and Adrian Kaehler: Learning Opencv, September 2008: First Edition. p. 278]. During the application of the “codebook” model we train it using the first 5 frames of the video record. Such low number of training frames is enough, because the background environment practically does not change during the whole video sequence (the image of the background scene with a foreground human silhouette can be seen in Figure 2.2.1).
Platform: | Size: 136192 | Author: 2279657041 | Hits:

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