This paper presents algorithms for vision-based detection and classification of vehicles in
monocular image sequences of traffic scenes recorded by a stationary camera. Processing …

Describes a method for real-time tracking of people in everyday environments, using
multiple planar laser range-finders. People tracking is a well-studied problem in machine …

Abstract Objects are often constrained to lie on a known plane. This paper concerns the
pose determination and recognition of vehicles in traffic scenes, which under normal …

In automated surveillance, one is often interested in tracking road vehicles, measuring their
shape in 3D world space, and determining vehicle classification. To address these tasks …

Traffic surveillance systems provide the data used by Intelligent Transportation Systems
(ITS). The disadvantages of inductive loop detectors have led to the search for a reliable and …

There is a worldwide effort to apply 21st century intelligence to evolving our transportation
networks. The goals of smart transportation networks are quite noble and manifold, including …

In recent years, the development of automatic traffic surveillance system has received great
attention in the academic and industrial research. Based on computer vision technology, the …

This paper presents unsupervised vision-based system for parking lot occupancy detection.
The proposed method exhibit low computation complexity and use just a few frames per …

Reliable object perception is a vital requirement for automated driving. Despite the
availability of precise contour measurements, most state-of-the-art tracking systems still …

This paper presents algorithms for vision-based detection and classification of vehicles in
monocular image sequences of traffic scenes recorded by a stationary camera. Processing …