Merge pull request #3923 from Sarrink:patch-1

Typo fix: KadewTraKuPong to KaewTraKulPong #3923

From his paper: https://scispace.com/pdf/an-improved-adaptive-background-mixture-model-for-real-time-1l517cez5l.pdf

### Pull Request Readiness Checklist

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- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Author: Sarrink

modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown

@@ -30,8 +30,8 @@ In the following, we will have a look at two algorithms from the `bgsegm` module
 ### BackgroundSubtractorMOG
 
 It is a Gaussian Mixture-based Background/Foreground Segmentation Algorithm. It was introduced in
-the paper "An improved adaptive background mixture model for real-time tracking with shadow
-detection" by P. KadewTraKuPong and R. Bowden in 2001. It uses a method to model each background
+the paper "An Improved Adaptive Background Mixture Model for Realtime Tracking with Shadow
+Detection" by P. KaewTraKulPong and R. Bowden in 2001. It uses a method to model each background
 pixel by a mixture of K Gaussian distributions (K = 3 to 5). The weights of the mixture represent
 the time proportions that those colours stay in the scene. The probable background colours are the
 ones which stay longer and more static.