Matlab_Tracker
所属分类：图形图像处理
开发工具：matlab
文件大小：2085KB
下载次数：664
上传日期：2009-03-02 09:21:35
上 传 者：
diyuhuo
说明： 处理视频跟踪系统中的图像跟踪，在一个复杂的背景下，不受背景震动和其他因素影响，效果还不错
(Video tracking system deal with the image track, in a complex background, free from background vibration and other factors, the effect of good)
文件列表:
tkTemplateMatch_Init.dll (53248, 2005-03-29)
tkTemplateMatch_Next.dll (53248, 2005-03-29)
tkVarianceRatio_Init.dll (57344, 2005-03-29)
tkVarianceRatio_Next.dll (57344, 2005-03-29)
Sample\frame00001.jpg (81487, 2003-06-07)
Sample\frame00002.jpg (80586, 2003-06-07)
Sample\frame00003.jpg (79808, 2003-06-07)
Sample\frame00004.jpg (79767, 2003-06-07)
Sample\frame00005.jpg (79464, 2003-06-07)
Sample\frame00006.jpg (79368, 2003-06-07)
Sample\frame00007.jpg (78060, 2003-06-07)
Sample\frame00008.jpg (82007, 2003-06-07)
Sample\frame00009.jpg (83097, 2003-06-07)
Sample\frame00010.jpg (79433, 2003-06-07)
cv096.dll (782393, 2004-08-14)
cxcore096.dll (1032257, 2004-08-14)
drawboxmm.m (289, 2003-03-02)
highgui096.dll (569411, 2004-08-14)
testTracker.m (3529, 2005-03-29)
tkMeanShift_Init.dll (65536, 2005-03-29)
tkMeanShift_Next.dll (81920, 2005-03-29)
tkPeakDifference_Init.dll (57344, 2005-03-29)
tkPeakDifference_Next.dll (57344, 2005-03-29)
tkRatioShift_Init.dll (65536, 2005-03-29)
tkRatioShift_Next.dll (69632, 2005-03-29)
Matlab Version Tracker Testbed
version: 1.0
Date: 03/29/2005
This application test the performance of various tracking algorithm.
Include: (5 trackers)
tkMeanshift_Init.dll
tkMeanshift_Next.dll
tkPeakDifference_Init.dll
tkPeakDifference_Next.dll
tkRatioShift_Init.dll
tkRatioShift_Next.dll
tkTemplateMatch_Init.dll
tkTemplateMatch_Next.dll
tkVarianceRatio_Init.dll
tkVarianceRatio_Next.dll
Usage:
Please refer the "testtracker.m"
Each tracker include two functions (dlls) below:
1. [initModel] = tkXXX_Init(image, objectBox [,objectMask]);
Initilize tracker on the first frame
Inputs:
image: 3 channels and UINT8 input image for initial frame.
objectBox: Box around object in the order of [left right top bottom].
objectMask: (optional), mask to define object shape.
Outputs:
initModel: object model, could be histogram or matix (type varied for different trackers).
2. [targetBox, targetMask] = tkXXX_Next(initModel, image, candidateBox)
Apply tracker on the following frame
Inputs:
initModel: object model initialized on the first frame
image: 3 channels and UINT8 input image for next frame.
objectBox: candidate object Box to start search in the order of [left right top bottom].
Outputs:
targetBox: tracked target Box in the order of [left right top bottom].
targetMask: mask to define target shape.
Required Library:(OpenCV)
cv096.dll
cxcore096.dll
highgui096.dll
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