运动目标检测的方法
2017-07-18 10:40
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背景差分:http://docs.opencv.org/3.2.0/d1/dc5/tutorial_background_subtraction.html
vb:http://www.telecom.ulg.ac.be/research/vibe/
前景检测算法(一)--综述
前景检测的函数(Improved Background-Foreground Segmentation Methods),在2.4和3.3之间的变化。
在OpenCV 2.4里,有下面3个方法:
BackgroundSubtractorGMG()
This class implements an algorithm described in "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation,"
BackgroundSubtractorMOG()
Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm
BackgroundSubtractorMOG2()
"Improved adaptive Gausian mixture model for background subtraction
在opencv 3.3里,cnt()替代了mog2():
BackgroundSubtractorCNT()
Background subtraction based on counting.
About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware
BackgroundSubtractorGMG()
This class implements an algorithm described in "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation,"
BackgroundSubtractorMOG()
Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm
来源:
vb:http://www.telecom.ulg.ac.be/research/vibe/
前景检测算法(一)--综述
前景检测的函数(Improved Background-Foreground Segmentation Methods),在2.4和3.3之间的变化。
在OpenCV 2.4里,有下面3个方法:
BackgroundSubtractorGMG()
This class implements an algorithm described in "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation,"
BackgroundSubtractorMOG()
Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm
BackgroundSubtractorMOG2()
"Improved adaptive Gausian mixture model for background subtraction
在opencv 3.3里,cnt()替代了mog2():
BackgroundSubtractorCNT()
Background subtraction based on counting.
About as fast as MOG2 on a high end system. More than twice faster than MOG2 on cheap hardware
BackgroundSubtractorGMG()
This class implements an algorithm described in "Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation,"
BackgroundSubtractorMOG()
Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm
来源:
opencv前景检测的方法,在2.4.和3.3之间的变化
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