ACIVS 2007: Advanced Concepts for Intelligent Vision Systems pp 968-979 | Cite as
Geometrical Scene Analysis Using Co-motion Statistics
Conference paper
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.
Keywords
Gaussian Mixture Model Point Correspondence Shadow Detection Horizon Line Outlier Rejection
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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