A Review on Video Based Vehicle Detection, Recognition and Tracking

Video based vehicle detection is an active research area in Intelligent Transportation System. The aim is to efficiently extract the required data from large amount of videos captured by surveillance cameras by detecting, tracking identifying objects of interest and analyze their activities. This paper provides a review of literature on vehicle detection, recognition and tracking. Many approaches have been proposed for detection which includes appearance based models and motion based models .Vehicle recognition based on various attributes such as color, license plate, logos are discussed. Region based and feature based tracking along with various tracking algorithms are surveyed. Multi-view methods for vehicle detection are also discussed.