Object detection and recognition is an integral part of Computer Vision. It has a multitude of
applications ranging from character recognition to video analysis. Object detection now play …

To facilitate the monitoring and management of modern transportation systems, monocular
visual traffic surveillance systems have been widely adopted for speed measurement …

Blind people can benefit greatly from a system capable of localising and reading
comprehension text embedded in natural scenes and providing useful information that …

There are various means of monitoring traffic situations on roads. Due to the rise of artificial
intelligence (AI) based image processing technology, there is a growing interest in …

Typical approaches to visual vehicle tracking across large area require several cameras and
complex algorithms to detect, identify and track the vehicle route. Due to memory …

Recent video-based vehicle detection and counting algorithm are one of the main
components to determine the traffic state. With improvements in computer vision and …

Tracking of moving vehicles and pedestrians is the most important application in traffic
surveillance videos. This study develops a highly efficient and fast multi-object tracking …

Due to the rapid urbanization, various traffic problems such as traffic jams during commute
and regular traffic jams are occurring. In order to solve these traffic problems, it is necessary …

Automated traffic video surveillance is a crucial research domain in computer vision due to
the need to enable highway safety. It is very important to detect road accidents from traffic …

This is the model obtained in relation to the real system. And, based on this validation, a
study and comparison of the various control techniques can be carried out via simulations …