Detection and Extraction of Moving Object in Intelligent Surveillance System

Wen Hua Qiu; Zhen Zhen Qiu; Liang Wang

doi:10.4028/www.scientific.net/AMM.401-403.1027

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Detection and Extraction of Moving Object in...

Detection and Extraction of Moving Object in Intelligent Surveillance System

Abstract:

To solve the low automatic degree and low accurate alarm rate in the traditional intelligent surveillance system, a motion object segmentation algorithm based on level set method is proposed and implemented. The algorithm gains the primal contour curve by luminance difference between the video frames, and sets the curve as the primal zero level set. Then the narrow band level set algorithm is used to evolve the curve until achieving the segmentation result. Experimental results show that this method can greatly save the level set segmentation time and increase the detecting efficiency.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1027-1030

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1027

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Online since:

September 2013

Authors:

Wen Hua Qiu, Zhen Zhen Qiu, Liang Wang

Keywords:

Curve Evolvement, Detection, Extraction, Level Set, Luminance Difference, Moving Object

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References

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