Title :
Camera auto-calibration using zooming and zebra-crossing for traffic monitoring applications
Author :
Alvarez, Silverio ; Llorca, D.F. ; Sotelo, M.A.
Author_Institution :
Comput. Eng. Dept., Univ. of Alcala, Alcalá de Henares, Spain
Abstract :
This paper describes a camera auto-calibration system, based on monocular vision, for applications in the framework of Intelligent Transportation Systems (ITS). Using camera zoom and a very common element of urban traffic infrastructures as it is a zebra crossing, a principal point and vanishing point extraction is proposed to obtain an automatic calibration of the camera, without any prior knowledge of the scene. This calibration is very useful to recover metrics from images or apply information of 3D models to estimate 2D pose of targets, making a posterior object detection and tracking more robust to noise and occlusions. Moreover, the algorithm is independent of the position of the camera, and it is able to work with variable pan-tilt-zoom cameras in fully self-adaptive mode. In the paper, the results achieved up to date in real traffic conditions are presented and discussed.
Keywords :
calibration; cameras; object detection; object tracking; Intelligent Transportation Systems; camera auto-calibration; monocular vision; object tracking; pan-tilt-zoom cameras; posterior object detection; self-adaptive mode; traffic monitoring applications; urban traffic infrastructures; zebra-crossing; zooming; Calibration; Cameras; Equations; Estimation; Feature extraction; Optical imaging; Three-dimensional displays; Camera auto-calibration; pan-tilt-zoom cameras; urban traffic infrastructures; vanishing points;
Conference_Titel :
Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
Conference_Location :
The Hague
DOI :
10.1109/ITSC.2013.6728298