Tracking the Motion of Box Jellyfish

Tobias Kjellberg; Tobias Palmér; Magnus Oskarsson; Karl Åström

Tracking the Motion of Box Jellyfish

Tobias Kjellberg, Tobias Palmér, Magnus Oskarsson, Karl Åström

Forskningsoutput: Konferensbidrag › Konferenspaper, ej i proceeding/ej förlagsutgivet › Peer review

119 Nedladdningar (Pure)

Sammanfattning

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.

Originalspråk	engelska
Antal sidor	4
Status	Published - 2014
Evenemang	Visual observation and analysis of Vertebrate And Insect Behavior 2014 - Stockholm, Sverige Varaktighet: 2014 aug. 24 → …

Konferens

Konferens	Visual observation and analysis of Vertebrate And Insect Behavior 2014
Land/Territorium	Sverige
Ort	Stockholm
Period	2014/08/24 → …

Bibliografisk information

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

Ämnesklassifikation (UKÄ)

Matematik

Tillgång till dokument

2014_vaib_Kjellberg_jellytrack

http://homepages.inf.ed.ac.uk/rbf/VAIB14PAPERS/kjellberg.pdf

1 Doktorsavhandling (sammanläggning)

Computer Vision Based Analysis of Animal Behavior
Palmér, T., 2017 feb. 9, 1 uppl. Lund: Faculty of Engineering, Centre for Mathematical Sciences, Mathematical Statistics, Lund University. 299 s.
Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

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Fil

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@conference{8468af62eee54f70b6b2af8ce3e1eaee,

title = "Tracking the Motion of Box Jellyfish",

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.",

keywords = "Computer Vision, Tracking, Machine Learning",

author = "Tobias Kjellberg and Tobias Palm{\'e}r and Magnus Oskarsson and Karl {\AA}str{\"o}m",

note = "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; Visual observation and analysis of Vertebrate And Insect Behavior 2014 ; Conference date: 24-08-2014",

year = "2014",

language = "English",

}

TY - CONF

T1 - Tracking the Motion of Box Jellyfish

AU - Kjellberg, Tobias

AU - Palmér, Tobias

AU - Oskarsson, Magnus

AU - Åström, Karl

N1 - 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

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Computer Vision

KW - Tracking

KW - Machine Learning

M3 - Paper, not in proceeding

T2 - Visual observation and analysis of Vertebrate And Insect Behavior 2014

Y2 - 24 August 2014

ER -

Tracking the Motion of Box Jellyfish

Sammanfattning

Konferens

Bibliografisk information

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Forskningsoutput

Computer Vision Based Analysis of Animal Behavior

Citera det här