An Algorithm for Moving Target Detection in Dynamic Background Based on Gray-Weighted Kernel Function

Lu Ping Wang; Lu Ping Zhang; Ming Zhao

doi:10.4028/www.scientific.net/AMR.760-762.1874

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762An Algorithm for Moving Target Detection in...

An Algorithm for Moving Target Detection in Dynamic Background Based on Gray-Weighted Kernel Function

Abstract:

A new detecting algorithm based on gray-weighted kernel function is proposed for the moving target detection (MTD) in dynamic series of image.This algorithm firstly realizes image sequence registration by using the biggest gradient point. Then divides the image into 32*32 sub-images. The moving target can be finally detected based on the changes of gray-weighted kernel function. The testing result shows that the algorithm can detect the moving target in real-time and can suppress the influence caused by image registration error and gray fluctuation effectively.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1874-1878

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1874

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Online since:

September 2013

Authors:

Lu Ping Wang, Lu Ping Zhang, Ming Zhao

Keywords:

Dynamic Background, Gray-Weighted Kernel Function, Moving Target Detection

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