Non-parametric statistical background modeling for efficient foreground region detection

Alireza Tavakkoli; Mircea Nicolescu; George Bebis; Monica Nicolescu

doi:10.1007/s00138-008-0134-2

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Non-parametric statistical background modeling for efficient foreground region detection

Alireza Tavakkoli Mircea Nicolescu George Bebis Monica Nicolescu

Year: 2008 Journal: Machine Vision and Applications Vol: 20 (6)Pages: 395-409 Publisher: Springer Science+Business Media

DOI: 10.1007/s00138-008-0134-2

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Keywords:

Computer science Base (topology) Parametric statistics Line (geometry) Artificial intelligence Kernel (algebra) Range (aeronautics) Parametric model Statistical model Foreground detection Algorithm Kernel density estimation Image (mathematics) Computer vision Pattern recognition (psychology) Mathematics Object detection Statistics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Non-parametric statistical background modeling for efficient foreground region detection

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