Intelligent Transport Systems

Intelligent transport systems are increasingly relying on video as the main way to acquire information from intelligent intersection systems to perimeter control in an airport or traffic in a seaport.

Being able to extract content in real-time from video cameras used for intelligent transport systems is a crucial requirement. At the foundation of Eptascape intelligent transport systems is the task of automatic analysis of video content the way humans perceive visual information.

Making scene understanding possible requires a paradigm shift from pixel and frame-based imaging to an object-based one. Segmentation of an image into meaningful objects and their subsequent tracking in real-time are the challenges that need to be addressed to extract the semantic of video objects acquired by cameras in the field.

Examples

• Detecting pedestrians
  • waiting in a queue
  in potentially hazardous areas
• Detecting vehicles
  • blocking for a breakdown or an accident
  • outside allowed areas
  • going the wrong direction
  • running through red lights
  • waiting in a queue