In intelligent transportation system, research on vehicle detection and classification has high theory significance and application value. According to the traditional methods of vehicle detection which can’t be well applied in challenging scenario, this paper proposes a novel Bayesian fusion algorithm based on Gaussian mixture model. We extract the features of vehicle from images, including sh...

This paper presents a new vehicle classification and develops a traffic monitoring detector to provide reliable vehicle classification to aid traffic management systems. The basic principle of this approach is based on measuring the dynamic strain caused by vehicles across pavement to obtain the corresponding vehicle parameters - wheelbase and number of axles - to then accurately classify the v...

Automatic vehicle classification is an important task in Intelligent Transport System because it allows the attainment of the traffic parameter called vehicles count by category. Proposed methods of vehicle image classification, obtained from videos of roads traffic, have known limitations, such as strong dependence of detection methods, hard image normalization and low accuracy. This paper pre...

Vehicle classification is the process of vehicle type recognition based on given vehicle characteristics. Accurate vehicle classification has many important applications in transportation. One example is road maintenance, which is highly related to the monitoring of heavy vehicle traffic. Because trucks and oversized vehicles exhibit distinctly different performance characteristics from passeng...

The aim of this paper is to classify the vehicles and estimate position with license plate localization using deep convolutional Neural Network (DCNN). Vehicle pose estimation serves as one most widely-used real-world applications in fields like toll control, traffic scene analysis, suspected vehicle tracking. We proposed a one-stage anchor-free classifier for simultaneously localizing region p...

Electronic toll collection (ETC) system has been a common trend used for toll collection on toll road nowadays. The implementation of electronic toll collection allows vehicles to travel at low or full speed during the toll payment, which help to avoid the traffic delay at toll road. One of the major components of an electronic toll collection is the automatic vehicle detection and classificati...

The exponential rise in the demand of vision based traffic surveillance systems have motivated academia-industries to develop optimal vehicle detection and classification scheme. In this paper, an adaptive learning rate based Gaussian mixture model (GMM) algorithm has been developed for background subtraction of multilane traffic data. Here, vehicle rear information and road dash-markings have ...

Classification of vehicles from video is used for analysis of traffic, self-driving systems or security systems. This analysis is based on shape, size, velocity and track of vehicles. These features characterize vehicle in background subtraction and feature extraction methods. Extraction is done by active contours and morphological operations. Extracted vehicles are classified by applying vario...