Deep learning has revolutionized object detection, with YOLO (You Only Look Once)
leading in real-time accuracy. However, detecting moving objects in visual streams presents …

Tracking objects is a crucial problem in image processing and machine vision, involving the
representation of position changes of an object and following it in a sequence of video …

An efficient product packing system through a simplified automatic counting and collecting
process is a critical aspect of the manufacturing industry. In this article, we propose a real …

Due to unfavorable factors such as cluttered spatial and temporal distribution of multiple
types of targets, occlusion of background objects of different shapes, and blurring of feature …

In the domain of autonomous vehicle systems, the accurate detection and tracking of moving
objects, particularly vehicles, are of paramount importance for ensuring safe and efficient …

In congested urban traffic scenarios, accurately counting vehicles with video camera is a
critical task with profound implications for traffic management and urban planning. However …

This research paper presents a novel approach for vehicle tracking and counting utilizing
the advanced object detection model YOLOv8 in the field of image processing. The accurate …

Intersection study is one of the crucial surveys for advanced traffic management, especially
at unsignalized points. In this study, the traditional method for vehicle detection and …

With the increase in the number of vehicles on the road, traffic congestion has become a
major problem in metropolitan areas. Generally, the traffic flow through a junction is …