Algorithm of Moving Vehicle Detection by Improved Gaussian Mixture Model Based on ROI

Pan Pan Zhang; Chun Yang Mu; Xing Ma; Fu Lu Xu

doi:10.4028/www.scientific.net/AMM.734.463

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734Algorithm of Moving Vehicle Detection by Improved...

Algorithm of Moving Vehicle Detection by Improved Gaussian Mixture Model Based on ROI

Abstract:

Detection of moving object is a hot topic in computer vision. Traditionally, it is detected for every pixel in whole image by Gaussian mixture background model, which may waste more time and space. In order to improving the computational efficiency, an advanced Gaussian mixture model based on Region of Interest was proposed. Firstly, the solution finds out the most probably region where the target may turn up. And then Gaussian mixture background model is built in this area. Finally, morphological filter algorithm is used for improving integrity of the detected targets. Results show that the improved method could have a more perfect detection but no more time increasing than typical method.

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Periodical:

Applied Mechanics and Materials (Volume 734)

Pages:

463-467

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.734.463

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Cite this paper

Online since:

February 2015

Authors:

Pan Pan Zhang, Chun Yang Mu, Xing Ma*, Fu Lu Xu

Keywords:

Gaussian Mixture Model, Morphology, Moving Vehicle Detection, ROI

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* - Corresponding Author

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