The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …

Vision transformers have been demonstrated to yield state-of-the-art results on a variety of
computer vision tasks using attention-based networks. However, research works in …

Accurate object detection on the road is the most important requirement of autonomous
vehicles. Extensive work has been accomplished for car, pedestrian, and cyclist detection; …

In an age that is changing over time, vision-based technology is also constantly evolving.
Object detection plays a vital role in these trends. This paper provides review information on …

Recently, the detection and segmentation of salient objects that attract the attention of
human visual in images is determined by using salient object detection (SOD) techniques …

Abstract In vision-driven Intelligent Transportation Systems (ITS) where cameras play a vital
role, accurate detection and re-identification of vehicles are fundamental demands. Hence …

Vehicle detection is a technique that uses photographs to identify and label vehicles. Images
for their learning may be taken in various scenarios, such as focus ranges or different …

In vision-driven Intelligent Transportation Systems (ITS) where cameras play a vital role,
accurate detection and re-identification of vehicles are fundamental demands. Hence, recent …

A deep learning algorithm tracks an object's movement during object tracking and the main
challenge in the tracking of objects is to estimate or forecast the locations and other pertinent …

Urban public security incidents are prone to occur. Better understanding of pedestrian
abnormal behavior and trajectory in crowded places is conducive to crowd management …