A Tank Fish Recognition and Tracking System Using Computer Vision Techniques

被引：7
作者：
Lee, Jia-Hong [1 ]
Wu, Mei-Yi [2 ]
Guo, Zhi-Cheng [3 ]
机构：
[1] Natl Kaohsiung First Univ Sci & Technol, Dept Informat Management, Kaohsiung, Taiwan
[2] Chang Jung Univ, Dept Informat Management, Tainan, Taiwan
[3] Kun Shan Univ, Dept Informat Management, Tainan 710, Taiwan
来源：
ICCSIT 2010 - 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 4 | 2010年
关键词：
Tank fish recongniton; object detection; object tracking; computer vision; SEGMENTATION; ALGORITHM;
D O I：
10.1109/ICCSIT.2010.5563625
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aquarium usually provides the visitors with pictures and some description of the fishes in the exhibition tank. In this paper, an intelligent fish recognition system using computer vision is proposed to help aquarium to educate people about the fishes in the tank. The designed system provides a convenient and friendly interface to help the users to retrieve the related fish information they are interested. The system includes three SUb-systems: (1) fish object detection system (2) fish object tracking system (3) fish object recognition system. Two types of fish indexing system (offline and real time) have been designed and implemented.
引用
收藏
页码：528 / 532
页数：5
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