Adıń Ramıŕez Rivera, Mahbub Murshed, Jaemyun Kim, Oksam Chae
Background modeling is challenging due to background dynamism. Most background modeling methods fail in the presence of intensity changes, because the model cannot handle sudden changes. A solution to this problem is to use intensity-robust features. Despite the changes of an edge's shape and positi...
Jaemyun Kim, Mahbub Murshed, Adıń Ramıŕez Rivera, Oksam Chae
We propose an edge-segment-based statistical background modelling algorithm to detect the moving edges for the detection of moving objects using a static camera. Traditional pixel intensity-based background modelling algorithms face difficulties in dynamic environments since they cannot handle sudde...