* and adapted. Its license reads:
* "Oct. 3, 2008
* Right to use this code in any way you want without warrenty, support or
- * any guarentee of it working. "
+ * any guarantee of it working. "
*
*
* Permission is hereby granted, free of charge, to any person obtaining a
* mixture model for real-time tracking with shadow detection", Proc. 2nd
* European Workshop on Advanced Video-Based Surveillance Systems, 2001
* [5] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2
- * [6] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
+ * [6] Z.Zivkovic, "Improved adaptive Gaussian mixture model for background
* subtraction", International Conference Pattern Recognition, UK, August, 2004.
* [7] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation
* per Image Pixel for the Task of Background Subtraction", Pattern Recognition
/* initialize the new element
* instantiate pads and add them to element
- * set pad calback functions
+ * set pad callback functions
* initialize instance structure
*/
static void
* OpenCV MOG2 implements the algorithm described in [2] and [3].
*
* [1] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2
- * [2] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
+ * [2] Z.Zivkovic, "Improved adaptive Gaussian mixture model for background
* subtraction", International Conference Pattern Recognition, UK, Aug 2004.
* [3] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation
* per Image Pixel for the Task of Background Subtraction", Pattern
maxMod Add this (possibly negative) number onto
max level when determining if new pixel is foreground
- minMod Subract this (possibly negative) number from
+ minMod Subtract this (possibly negative) number from
min level when determining if new pixel is foreground
NOTES:
[2] and [3].
[1] http://opencv.itseez.com/modules/video/doc/motion_analysis_and_object_tracking.html#backgroundsubtractormog2
- [2] Z.Zivkovic, "Improved adaptive Gausian mixture model for background
+ [2] Z.Zivkovic, "Improved adaptive Gaussian mixture model for background
subtraction", International Conference Pattern Recognition, UK, August, 2004.
[3] Z.Zivkovic, F. van der Heijden, "Efficient Adaptive Density Estimation per
Image Pixel for the Task of Background Subtraction", Pattern Recognition