Fish group tracking based on Delaunay Triangulation network

Author

Wu, Jun ; Xiao, Gang ; Zhang, Yongliang ; Chen, Jiujun ; Zhu, Lumin ; Li, Aiyan

Author_Institution

Inst. of Graphic & Image Process., Zhejiang Univ. of Technol., Hangzhou, China

Volume

1

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

534

Lastpage

537

Abstract

In order to accurately track fish group, a new algorithm is proposed, which is based on the improved background subtraction (IBS) algorithm and the Delaunay Triangulation (DT) network. First, the IBS algorithm is used to segment each frame of the video; second, the center of each fish is evaluated; third, the DT network is established; fourth, the DT network is optimized and the center of the fish group is calculated. Experimental results show that this algorithm can track fish groups accurately and provide effective data for monitoring water quality.

Keywords

fishing industry; image segmentation; mesh generation; object tracking; video signal processing; water quality; Delaunay triangulation network; fish group center; fish group tracking; improved background subtraction algorithm; video frame segmentation; water quality monitoring; Adaptation models; Algorithm design and analysis; Conferences; Marine animals; Optimization; Signal processing algorithms; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6099934

Filename

6099934