Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

In this paper, we review the recently published work on deformable models. We have
chosen to concentrate on 2D deformable models and relate the energy minimization …

This paper aims at real-time in-car video analysis to detect and track vehicles ahead for
safety, autodriving, and target tracing. This paper describes a comprehensive approach to …

A new Kalman-filter based active contour model is proposed for tracking of nonrigid objects
in combined spatio-velocity space. The model employs measurements of gradient-based …

In this paper, we propose an approach to vehicle classification under a mid-field
surveillance framework. We develop a repeatable and discriminative feature based on edge …

Vehicle classification has evolved into a significant subject of study due to its importance in
autonomous navigation, traffic analysis, surveillance and security systems, and …

Lane boundary detection is the problem of estimating the geometric structure of the lane
boundaries of a road based on the images grabbed by a camera on board a vehicle. We use …

This paper deals with the extraction of part of the visual information presented in streets,
roads, and motorways. This information, provided by either traffic or road signs and route …

We propose a new 3D/2D registration method for vertebrae of the scoliotic spine, using two
conventional radiographic views (postero-anterior and lateral), and a priori global …

Traffic surveillance has become an important topic in intelligent transportation systems
(ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer …