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Proceedings Paper

Extraction, categorization, and unusual motion signaling of small moving objects
Author(s): Levente Kovács; Ákos Utasi; Tamás Szirányi
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Paper Abstract

The paper presents an automatic approach for small moving object detection, categorization and unusual motion pattern signaling on camera feeds on sky background. The method uses a local blind deconvolution based foreground detector for small object mask and contour edge extraction, spatio-temporal localized histogram evaluation for object classification, and a hidden Markov model based evaluation for learning usual motions and signaling unusual motion patterns. The method is able to mask moving objects, fit them into learned categories and signal unexpected motion behavior.

Paper Details

Date Published: 3 September 2009
PDF: 12 pages
Proc. SPIE 7445, Signal and Data Processing of Small Targets 2009, 74450C (3 September 2009); doi: 10.1117/12.829460
Show Author Affiliations
Levente Kovács, Computer and Automation Research Institute (Hungary)
Ákos Utasi, Computer and Automation Research Institute (Hungary)
Tamás Szirányi, Computer and Automation Research Institute (Hungary)

Published in SPIE Proceedings Vol. 7445:
Signal and Data Processing of Small Targets 2009
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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