DocumentCode
3363386
Title
Capabilities and limitations of mono-camera pedestrian-based autocalibration
Author
Mohedano, Raúl ; Garcia, Narciso
Author_Institution
Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
4705
Lastpage
4708
Abstract
Many environments lack enough architectural information to allow an autocalibration based on features extracted from the scene structure. Nevertheless, the observation over time of walking people can generally be used to estimate the vertical vanishing point and the horizon line in the acquired image. However, this information is not enough to allow the calibration of a general camera without presuming excessive simplifications. This paper presents a study on the capabilities and limitations of the mono-camera calibration methods based solely on the knowledge of the vertical vanishing point and the horizon line in the image. The mathematical analysis sets the conditions to assure the feasibility of the mono-camera pedestrian-based autocalibration. In addition, examples of applications are presented and discussed.
Keywords
calibration; cameras; feature extraction; mathematical analysis; autocalibration; features extraction; horizon line; mathematical analysis; mono-camera pedestrian; scene structure; vertical vanishing point estimation; walking people; Bayesian methods; Calibration; Cameras; Data mining; Equations; Legged locomotion; Pixel; Camera calibration; horizon line; human tracking; vanishing point;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5653359
Filename
5653359
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