From f18907c972186af3a9d56d76e233e6d72172a8c7 Mon Sep 17 00:00:00 2001 From: Sarrink Date: Wed, 9 Apr 2025 18:11:24 +0900 Subject: [PATCH 1/2] Typo fix: KadewTraKuPong to KaewTraKulPong From his paper: https://scispace.com/pdf/an-improved-adaptive-background-mixture-model-for-real-time-1l517cez5l.pdf --- .../bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown b/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown index 4340b3654ee..6f81845d3b9 100644 --- a/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown +++ b/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown @@ -31,7 +31,7 @@ In the following, we will have a look at two algorithms from the `bgsegm` module 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 +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. From f7779e2fb1dab7f2e5fbc94c62d5c18b352ed652 Mon Sep 17 00:00:00 2001 From: Sarrink Date: Thu, 10 Apr 2025 11:28:00 +0900 Subject: [PATCH 2/2] Fix article name --- .../bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown b/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown index 6f81845d3b9..07bfffb2325 100644 --- a/modules/bgsegm/tutorials/bgsegm_bg_subtraction/bgsegm_bg_subtraction.markdown +++ b/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. KaewTraKulPong 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.