With the rapid pace of urbanization, the number of vehicles traveling between cities has
increased significantly. Consequently, many traffic-related problems have emerged, such as …

This paper introduces a novel background subtraction method that utilizes texture-level
analysis based on the Gabor filter bank and statistical moments. The method addresses the …

Background subtraction is a prerequisite for a wide range of applications, including video
surveillance systems. A significant number of algorithms are often developed and published …

Efficiency of most conventional background subtraction systems used in video surveillance
systems depends on the correct choice of a threshold. To prevent this dependency, a new …

Background subtraction is a preliminary technique used for video surveillance and a widely
used approach for indexing moving objects. Arange of algorithms have been introduced …

Using dominant eigenvectors for background modeling (usually known as
Eigenbackground) is a common technique in the literature. However, its results suffer from …

Moving obstacle detection and its velocity estimation is crucial in an autonomous vehicle for
better manoeuvring in real-road conditions. A modified spatial calibration approach …

Road traffic monitoring is a crucial area of study. Current traffic situation may be assessed,
and actionable information may be given to traffic control management organizations by …

Generally, in the real-world life scenarios traffic is considered as the main problem. Many
projects were implemented to overcome this problem. This project is the enhancement …

Due to the high number of automobiles on the highways, traffic congestion is becoming a
severe issue. As vehicular activity increases, the queue of vehicles waiting at intersections …