Paper
3 September 2009 Extraction, categorization, and unusual motion signaling of small moving objects
Levente Kovács, Ákos Utasi, Tamás Szirányi
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Levente Kovács, Ákos Utasi, and 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); https://doi.org/10.1117/12.829460
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Clouds

Image segmentation

Video

Signal detection

Motion models

Statistical analysis

Deconvolution

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