Performance Evaluation of Support Vector Machine and Convolutional Neural Network Algorithms in Real-Time Vehicle Type Classification

Abstract. Intelligent traffic management systems needs to obtain information about traffic with different sensors to control the traffic flow properly. Traffic surveillance videos are very actively used for this purpose. In this paper, we firstly create a vehicle dataset from an uncalibrated camera. Then, we test Tiny-YOLO real-time object detection and classification system and SVM … Read more Performance Evaluation of Support Vector Machine and Convolutional Neural Network Algorithms in Real-Time Vehicle Type Classification

A Concise Review on Vehicle Detection and Classification

Abstract—Traffic management and information systems need to obtain information about traffic with various sensors to control the traffic flow properly. In this context, videos are very actively used in traffic surveillance and control in recent years. With the help of image processing based video surveillance system in traffic management systems, many studies are done. Processing … Read more A Concise Review on Vehicle Detection and Classification

Measuring the Efficiencies of Vehicle Classification Algorithms on Traffic Surveillance Video

Abstract— Traffic management and information systems need to obtain information about traffic with various sensors to control the traffic follow properly. In this context, videos are very actively used in traffic surveillance and control in recent years. With the help of image processing based video surveillance system in traffic management systems, many studies are done. … Read more Measuring the Efficiencies of Vehicle Classification Algorithms on Traffic Surveillance Video