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Tracking the Motion of Box Jellyfish

Kjellberg, Tobias ; Palmér, Tobias LU ; Oskarsson, Magnus LU orcid and Åström, Karl LU orcid (2014) Visual observation and analysis of Vertebrate And Insect Behavior 2014
Abstract
In this paper we investigate a system for tracking

the motion of box jellyfish tripedalia cystophora in a special test

setup. 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. We have focused on a realtime

system with simple building blocks in our system. However,

using a combination of simple intensity based detection and model

based tracking we achieve promising tracking results with up to

95% accuracy.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Computer Vision, Tracking, Machine Learning
pages
4 pages
conference name
Visual observation and analysis of Vertebrate And Insect Behavior 2014
conference location
Stockholm, Sweden
conference dates
2014-08-24
language
English
LU publication?
yes
additional info
The paper was presented at a workshop in conjunction with the International Conference on Pattern Recognition (ICPR 2014): http://homepages.inf.ed.ac.uk/rbf/vaib14.html
id
8468af62-eee5-4f70-b6b2-af8ce3e1eaee (old id 5142551)
alternative location
http://homepages.inf.ed.ac.uk/rbf/VAIB14PAPERS/kjellberg.pdf
date added to LUP
2016-04-04 13:33:18
date last changed
2020-12-22 02:17:25
@misc{8468af62-eee5-4f70-b6b2-af8ce3e1eaee,
  abstract     = {In this paper we investigate a system for tracking<br/><br>
the motion of box jellyfish tripedalia cystophora in a special test<br/><br>
setup. The goal is to measure the motor response of the animal<br/><br>
given certain visual stimuli. The approach is based on tracking<br/><br>
the special sensory structures – the rhopalia – of the box jellyfish<br/><br>
from high-speed video sequences. We have focused on a realtime<br/><br>
system with simple building blocks in our system. However,<br/><br>
using a combination of simple intensity based detection and model<br/><br>
based tracking we achieve promising tracking results with up to<br/><br>
95% accuracy.},
  author       = {Kjellberg, Tobias and Palmér, Tobias and Oskarsson, Magnus and Åström, Karl},
  language     = {eng},
  title        = {Tracking the Motion of Box Jellyfish},
  url          = {https://lup.lub.lu.se/search/files/6148644/5142552.pdf},
  year         = {2014},
}