Recent advancements in image processing and machine-learning technologies have
significantly improved vehicle monitoring and identification in road transportation systems …

This paper presents the implementation of vehicles classification using Extreme Gradient
Boost (XG Boost) Algorithm to improve the accuracy in the vehicle classification with respect …

Vehicle classification (VC) is a prominent research domain within image processing and
machine learning (ML) for identifying vehicle volumes and traffic rule violations. In …

AdaBoost is a popular method for vehicle detection, but the training process is quite time-
consuming. In this paper, a rapid learning algorithm is proposed to tackle this weakness of …

In this paper, we propose a cascade classifier for high-performance on-road vehicle
detection. The proposed system deliberately selects constituent weak classifiers that are …

Vehicle detection and classification are necessary components in a variety of useful
applications related to traffic, security, and autonomous driving systems. Many studies have …

Vehicle type classification has become an important part of intelligent traffic. However
traditional methods can not deal with the varying situations in the reality. In this paper, a …

This paper proposes a novel method that addresses the selection of the dominant patterns
of the histograms of oriented gradients (DPHOGs) in vehicle detection. HOG features lead to …

Real-time vehicle classification is an important issue in intelligent transport systems. In this
paper, we propose a novel model to classify five distinct groups of vehicle images from …

Vehicle intelligent classification plays a vital role in the Intelligent Transport Systems.
However, due to the dynamic traffic environments, it is difficult to ensure the classification …