Moving Objects Detection and Speed Estimation in Intelligent Surveillance System

Zhi Hong Xi; Guang Hui Dong

doi:10.4028/www.scientific.net/AMR.712-715.2354

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Moving Objects Detection and Speed Estimation in...

Moving Objects Detection and Speed Estimation in Intelligent Surveillance System

Abstract:

In order to solve the problem of highway intelligent video surveillance system for effective monitoring of vehicle operating conditions, a fast block background modeling method is proposed in the framework for intelligent video surveillance system. First using statistical histogram to build the background model of the video surveillance system, second using background subtraction method to locate the moving target area, at last using displacement of the minimum exterior rectangle centroid of the moving target between two frames to calculate moving target speed, without the aid calibration. Experimental results show that the proposed method exhibits its superiority in processing time, the time of building background model through 100 frames is 3.8s. The proposed method has good practical value used in intelligent video surveillance.

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Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

2354-2358

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.2354

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Online since:

June 2013

Authors:

Zhi Hong Xi*, Guang Hui Dong

Keywords:

Background Subtraction, Intelligent Video Surveillance, Moving Objects Detection, Speed Estimation, Statistical Histogram

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* - Corresponding Author

References

[1] Coheni, Medionig G: Computer Vision and Pattern Recognition. Fort Collins CO: IEEE, (1999), pp.678-682.

Google Scholar

[2] Chong Wang, Zhihong Xi, Chunli Xiao: Applied Science and Technology V ol.36, no.10, (2009), pp.16-18,30.(In Chinese)

Google Scholar

[3] O. Masoud, N.P. Papanikolopoulos, E. Kwon: IEEE Transactions on Intelligent Transportation Systems Vol.2, no.1, (2001), pp.18-25.

Google Scholar

[4] Chris Bachmann, Baher Abdulhai, Matthew J. Roorda and Behzad Moshiri: Transportation Research Part C Vol.26, (2013), pp.33-48.

Google Scholar

[5] Nour-Eddin El Faouzi, Henry Leung and Ajeesh Kurian: Information Fusion Vol.12, (2011), pp.4-10.

Google Scholar

[6] Dailey D J: Transportation Research B: Methodological Vol.33, no.5, (1999), pp.313-322.

Google Scholar

[7] Mengmeng LIU: Computer Technology and Development Vol.18, no.6, (2008), pp.111-114. (In Chinese)

Google Scholar