Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Segment anything model (SAM) has achieved great success in the field of natural image
segmentation. Nevertheless, SAM tends to consider shadows as background and therefore …

Visual surveillance from low-altitude airborne platforms plays a key role in urban traffic
surveillance. Moving vehicle detection and motion analysis are very important for such a …

In this paper, a real-time solar-powered road surveillance system is proposed to detect and
report moving vehicles that violate the speed limit. The system is designed to operate as a …

This paper presents a drone-based method for vacant parking space detection using aerial
images. Due to the limited field of view, it is better to use a camera mounted on a drone to …

This paper addresses the problem of shadow detection and shadow removal from a single
image. Despite awareness of utilizing both local and global contexts, previous works only …

We propose an adaptive shadow estimator to detect and eliminate the shadow of a moving
object while adapting to variation of illumination and the environment in an automatic …

Recent developments in vision systems such as distributed smart cameras have
encouraged researchers to develop advanced computer vision applications suitable to …

Vehicle classification has emerged as a significant field of study because of its importance in
variety of applications like surveillance, security system, traffic congestion avoidance and …

Road traffic congestion is a serious problem in today's world and it happens because of
urbanization and population growth. The traffic reduces the transport efficiency in the city …