A Statistical Model for Real-Time Video Moving Target Detection Based on Bayesian Statistics

Zhi Hong Zhang; Shu Ling Zhang; Bin Yang; Xin Bai

doi:10.4028/www.scientific.net/AMM.596.394

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596A Statistical Model for Real-Time Video Moving...

A Statistical Model for Real-Time Video Moving Target Detection Based on Bayesian Statistics

Abstract:

Video moving target detection is an important foundation issues in computer vision, based on the analysis of the advantages and disadvantages of each existing moving target detection model, using Bayesian statistical theory as a framework, proposes a statistical model that can detect moving objects in video in real-time. The model combines time, space and color and other relevant information of pixel, divides and extracts Video segmentation’s foreground. By selecting the appropriate reference background can improve the precision and accuracy of the detection.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

394-397

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.394

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Online since:

July 2014

Authors:

Zhi Hong Zhang*, Shu Ling Zhang, Bin Yang, Xin Bai

Keywords:

Real-Time Detection, Statistical Model, Video Object

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* - Corresponding Author

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