vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management.this paper presents novel approach of automating detecting and counting vehicles for traffic monitoring through the usage of background subtraction and morphological operators. We present adaptive background subtraction that is compatible with weather and ...

Abstract Heavy rainfall in extreme climates often causes natural disasters such as floods, landslides, and debris flows. Rainfall-induced slope instabilities are major geological (Glade Environ Geol 35:160–174, 1998; Dai et al. Eng 51:279–290, 1999; Iverson Water Resour Res 36:1897–1910, 2000; Lee Pradhan Landslides 4:33–41, 2007; Li 13:1109–1123, 2016a; Ecol 91:477–486, 2016b; Wu Hydro-mechani...

Background modeling is often used in the context of moving objects detection from static cameras. Numerous methods have been developed over the recent years and the most used are the statistical ones. This paper describes the current state-of-art in background modeling methods for moving object detection. We also propose a method for background modeling based on texture features and self organi...

Background modeling is one of the key steps in any visual surveillance system. A good background modeling algorithm should be able to detect objects/targets under any environmental condition. The influence of illumination variance has been a major challenge in many background modeling algorithms. These algorithms produce poor object segmentation or consume substantial amount of computational ti...