Moving Object Detection Based on the Fish

Lian Li; Jun Yi Song; Zhi Yang Yan

doi:10.4028/www.scientific.net/AMM.644-650.1253

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Moving Object Detection Based on the Fish

Moving Object Detection Based on the Fish

Abstract:

The detection and tracking of moving object is the important research of image analysis and understanding as well as in computer vision field, and have extensive application in the traffic monitoring, the military, industrial process control and medical research, but less application in the underwater monitoring of fish. In this paper, in order to be able to real-time detection of the fish in the digital video system moving target, proposed the fish moving target detection algorithm under a camera. With an improved background updating method of adaptive Gaussian mixture model, a method to detect the target fish based on Gaussian mixture model combined with edge detection operator.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1253-1256

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1253

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Online since:

September 2014

Authors:

Lian Li*, Jun Yi Song, Zhi Yang Yan

Keywords:

Background Subtraction, Edge Detection Operator, Gaussian Mixture Model, Moving Target Detection

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* - Corresponding Author

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