Fish Tracking and Continual Behavioral Pattern Clustering Using Novel Sillago Sihama Vid (SSVid)-Reference-Cited by-同舟云学术

Fish Tracking and Continual Behavioral Pattern Clustering Using Novel Sillago Sihama Vid (SSVid)

Published:2023 Issue: Volume:11 Page:29400-29416
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shreesha S.¹^ORCID,Pai M. M. Manohara¹^ORCID,Verma Ujjwal²^ORCID,Pai Radhika M.³^ORCID

Affiliation:

1. Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

2. Department of Electronics and Communication Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India

3. Department of Data Science and Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Funder

Department of Science and Technology, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10049422.pdf?arnumber=10049422

Reference66 articles.

1. Simple online and realtime tracking with a deep association metric

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3. CNN-based single object detection and tracking in videos and its application to drone detection

4. A computer vision system to analyse the swimming behaviour of farmed fish in commercial aquaculture facilities: A case study using cage-held Atlantic salmon

5. Automatic multiple zebrafish tracking based on improved HOG features

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