3 September 2009 Extraction, categorization, and unusual motion signaling of small moving objects
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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.
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Levente Kovács, Levente Kovács, Ákos Utasi, Ákos Utasi, Tamás Szirányi, Tamás Szirányi, "Extraction, categorization, and unusual motion signaling of small moving objects", Proc. SPIE 7445, Signal and Data Processing of Small Targets 2009, 74450C (3 September 2009); doi: 10.1117/12.829460; https://doi.org/10.1117/12.829460

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