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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Spatio-temporal consistency and distributivity as qualities of features
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Michael Eckmann, Skidmore College 815 N. Broadway, Saratoga Springs, NY, USA
Terrance E. Boult, University of Colorado at Colorado Springs 1420 Austin Bluffs Pkwy, USA
In this work, we define two new and important qualities of features which expand upon the usual local feature information. Spatio-Temporal consistency is a quality of a feature that quantifies how consistently a feature has been tracked in prior frames and how smooth its motion was over prior frames. Distributivity is a quality of a feature that quantifies physical distance (in number of pixels) from other features in the same frame.
Citation:
Michael Eckmann, Terrance E. Boult, "Spatio-temporal consistency and distributivity as qualities of features," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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