Geometrical scene analysis using co-motion statistics

Authors:
Zoltán Szlávik;László Havasi;Tamás Szirányi
Affiliations:
Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary;Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary;Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary
Venue:
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Year:
2007

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Abstract

Deriving the geometrical features of an observed scene is pivotal for better understanding and detection of events in recorded videos. In the paper methods are presented for the estimation of various geometrical scene characteristics. The estimated characteristics are: point correspondences in stereo views, mirror pole, light source and horizon line. The estimation is based on the analysis of dynamical scene properties by using co-motion statistics. Various experiments prove the feasibility of our approach.