Abstract
In this paper, we propose an automatic and sequential method for the registration of an image sequence of a road area without ignoring scene-induced motion. This method contributes to a larger work, aiming at vehicle tracking. A typical image sequence is recorded from a helicopter hovering above the freeway. The demand for automation is inevitable due to the large number of images and continuous changes in the traffic situation and weather conditions. A framework is designed and implemented for this purpose. The registration errors are removed in a sequential way based on two homography assumptions. First, an approximate registration is obtained, which is efficiently refined in a second step, using a restricted search area. The results of the stabilization framework are demonstrated on an image sequence consisting of 1500 images and show that our method allows a registration between arbitrary images in the sequence with a geometric error of zero in pixel accuracy.
Highlights
Traffic is a problem in all large cities and is continuously analyzed by both authorities and researchers.Driving behavior is the most influential element in traffic, and its influence on, for example, trafficSensors 2014, 14 congestion is poorly understood
Image coordinates are distorted by lens distortion with radial and tangential components [29,31,32]. The parameters of these two distortions belong to the internal camera parameters and are estimated in the camera calibration procedure
The framework described in this paper stabilized an image sequence of a road area in an automatic and sequential way
Summary
Traffic is a problem in all large cities and is continuously analyzed by both authorities and researchers.Driving behavior is the most influential element in traffic, and its influence on, for example, trafficSensors 2014, 14 congestion is poorly understood. Driving behavior is the most influential element in traffic, and its influence on, for example, traffic. One possible approach to obtain insight into driving behavior is to track many vehicles for a long period of time without the drivers’ being aware that they are taking part in an experiment [1,2]. For the purpose of studying driving behavior in real traffic situations, a freeway is observed by a camera mounted below a hovering helicopter. The helicopter flies between 300 and 500 m above the freeway and records image sequences for a period of a maximum of a half an hour. The camera used for this purpose has a black and white visual sensor, a frequency of 15 frames per second and a resolution of 1392 × 1040 pixels. A test data set consisting of an image sequence of 1500 images is considered
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