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 …

A new image-based approach for fast and robust vehicle tracking from a moving platform is
presented. Position, orientation, and full motion state, including velocity, acceleration, and …

In this paper we present a stereovision-based approach for tracking multiple objects in
crowded environments where, typically, the road lane markings are not visible and the …

High accuracy pedestrian detection plays an important role in all intelligent vehicles. This
paper describes a system for detecting the obstacles in front of the vehicle and classifying …

As we know the population of city and number of cars is increasing day by day. With
increasing urban population and hence the number of cars, need of controlling streets …

In this dissertation, a novel approach for estimating trajectories of road vehicles such as
cars, vans, or motorbikes, based on stereo image sequences is presented. Moving objects …

Tracking multiple objects has always been a challenge, and is a crucial problem in the field
of driving assistance systems. The particle filter-based trackers have the theoretical …

With the evolution of intelligent transportation systems, video data obtained from traffic
scenes has become one of the most beneficial sources of information. The recent advances …

In this paper, we propose and develop a multiple‐camera 3D vehicle tracking system for
traffic data collection at intersections. Assuming a simple 3D cuboid model for the vehicle …

Stereo vision based sensors provide large amounts of data, a fact which is advantageous
when trying to extract semantic information about the imaged scene. However, this data is …