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Realtime Vehicle Tracking and Region Detection in Indoor Parking Lot for Intelligent Parking Control
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 Title & Authors
Realtime Vehicle Tracking and Region Detection in Indoor Parking Lot for Intelligent Parking Control
Yeon, Seungho; Kim, Jaemin;
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 Abstract
A smart parking management requires to track a vehicle in a indoor parking lot and to detect the place where the vehicle is parked. An advanced parking system watches all space of the parking lot with CCTV cameras. We can use these cameras for vehicles tracking and detection. In order to cover a wide area with a camera, a fisheye lens is used. In this case the shape and size of an moving vehicle vary much with distance and angle to the camera. This makes vehicle detection and tracking difficult. In addition to the fisheye lens, the vehicle headlights also makes vehicle detection and tracking difficult. This paper describes a method of realtime vehicle detection and tracking robust to the harsh situation described above. In each image frame, we update the region of a vehicle and estimate the vehicle movement. First we approximate the shape of a car with a quadrangle and estimate the four sides of the car using multiple histograms of oriented gradient. Second we create a template by applying a distance transform to the car region and estimate the motion of the car with a template matching method.
 Keywords
Smart Parking Management;Vehicle Tracking;Indoor Parking Lot;
 Language
Korean
 Cited by
 References
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