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 …

Developing real-time traffic parameters surveillance systems based on video aiming to
extract reliable traffic state information has attracted a lot of attention during the past …

In traffic surveillance applications a good prior model of vehicle shape and appearance is
becoming increasingly more important for tracking, shape recovery, and recognition from …

We propose a robust object recognition method based on approximate 3D models that can
effectively match objects under large viewpoint changes and partial occlusion. The specific …

In this paper, we present a new generic model-based approach for building 3-D models of
vehicles from color video from a single uncalibrated traffic-surveillance camera. We propose …

Traffic videos often capture slowly changing views of moving vehicles. These different and
incrementally related views provide visual cues for 3-D perception of the vehicles from 2-D …

Vehicle surveillance is the task of measuring moving road vehicles to automatically obtain
information about vehicle shape, appearance, identity, path of motion, and, ultimately, driver …

In the real world, systems/processes often evolve without fixed and predictable dynamic
models. To represent such applications we need uncertainty models, like Bayesian Nets …

In a video sequence with a 3D rigid object moving, changing shapes of the 2D projections
provide interrelated spatio-temporal cues for incremental 3D shape reconstruction. This …

Extracting information about vehicles or pedestrians detected by vision based systems is
vital for smart surveillance applications and traffic monitoring systems. These systems have …