Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …

In this paper, we propose a vehicle type classification method using a semisupervised
convolutional neural network from vehicle frontal-view images. In order to capture rich and …

Detecting and classifying vehicles as objects from images and videos is challenging in
appearance-based representation, yet plays a significant role in the substantial real-time …

This paper presents an automatic traffic surveillance system to estimate important traffic
parameters from video sequences using only one camera. Different from traditional methods …

This paper demonstrates an automated safety diagnosis approach for evaluating vehicle–
bicycle conflicts using video analysis. The use of traffic conflicts for safety diagnosis is …

Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the
intelligent traffic management system (ITMS) is used to manage traffic on road networks …

Abstract The Internet of Things (IoT) era is evolving into sensor initiated, actuation-driven,
and machine intelligence-based decision making platform for smart cities. A smart city …

Nowadays, intelligent transportation system (ITS) has become one of the most popular
subjects of scientific research. ITS provides innovative services to traffic monitoring. The …

The video sequences degraded by fog suffer from poor visibility. In this paper, we present a
contrast limited adaptive histogram equalization (CLAHE)-based method to remove fog …