DocumentCode :
557594
Title :
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
Link To Document :
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