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 …

Video-based analysis of traffic surveillance is an active area of research, which has a wide
variety of applications in intelligent transport systems (ITSs). In particular, urban …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

Intelligent visual surveillance for road vehicles is the key to developing autonomous
intelligent traffic systems. Recently, traffic incident detection employing computer vision and …

The ongoing research on object tracking in video sequences has attracted many
researchers. Detecting the objects in the video and tracking its motion to identify its …

We address the problem of model-based object recognition. Our aim is to localize and
recognize road vehicles from monocular images or videos in calibrated traffic scenes. A 3-D …

Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …

This paper presents a multilevel framework to detect and handle vehicle occlusion. The
proposed framework consists of the intraframe, interframe, and tracking levels. On the …

Developing an intelligent transportation system has attracted a lot of attention in the recent
past. Moreover, with the growing number of vehicles on the road most nations are adopting …

Vehicle detection based on image analysis has attracted increasing attention in recent years
due to its low cost, flexibility, and potential toward collision avoidance. In particular, vehicle …