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Visual Tracking of Box Jellyfish: A Real-Time Motion Tracking System

Oskarsson, Magnus LU orcid ; Kjellberg, Tobias ; Palmér, Tobias LU ; Nilsson, Dan-E LU and Åström, Karl LU orcid (2015) p.107-122
Abstract
In this chapter a system for tracking the motion of box jellyfish Tripedalia cystophora in a special test setup is investigated. The goal is to measure the motor response of the animal given certain visual stimuli. The approach is based on tracking the special sensory structures - the rhopalia - of the box jellyfish from high-speed video sequences. The focus has been on a real-time system with simple building blocks in the system. However, using a combination of simple intensity based detection and model based tracking promising tracking results with up to 95% accuracy are achieved.
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Computer vision, animal tracking
host publication
Computer Vision and Pattern Recognition in Environmental Informatics
editor
Zhou, Jun ; Bai, Xiao and Caelli, Terry
pages
107 - 122
publisher
IGI Global
external identifiers
  • scopus:84982903046
ISBN
9781466694354
9781466694361
DOI
10.4018/978-1-4666-9435-4.ch006
language
English
LU publication?
yes
id
99c74b03-13f1-4195-bb93-4c17a9ca2ca1 (old id 8519257)
date added to LUP
2016-04-04 12:00:54
date last changed
2025-10-14 11:14:04
@inbook{99c74b03-13f1-4195-bb93-4c17a9ca2ca1,
  abstract     = {{In this chapter a system for tracking the motion of box jellyfish Tripedalia cystophora in a special test setup is investigated. The goal is to measure the motor response of the animal given certain visual stimuli. The approach is based on tracking the special sensory structures - the rhopalia - of the box jellyfish from high-speed video sequences. The focus has been on a real-time system with simple building blocks in the system. However, using a combination of simple intensity based detection and model based tracking promising tracking results with up to 95% accuracy are achieved.}},
  author       = {{Oskarsson, Magnus and Kjellberg, Tobias and Palmér, Tobias and Nilsson, Dan-E and Åström, Karl}},
  booktitle    = {{Computer Vision and Pattern Recognition in Environmental Informatics}},
  editor       = {{Zhou, Jun and Bai, Xiao and Caelli, Terry}},
  isbn         = {{9781466694354}},
  keywords     = {{Computer vision; animal tracking}},
  language     = {{eng}},
  pages        = {{107--122}},
  publisher    = {{IGI Global}},
  title        = {{Visual Tracking of Box Jellyfish: A Real-Time Motion Tracking System}},
  url          = {{http://dx.doi.org/10.4018/978-1-4666-9435-4.ch006}},
  doi          = {{10.4018/978-1-4666-9435-4.ch006}},
  year         = {{2015}},
}