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

Oskarsson, Magnus LU ; Kjellberg, Tobias; Palmér, Tobias LU ; Nilsson, Dan-E LU and Åström, Karl LU (2015) In Computer Vision and Pattern Recognition in Environmental Informatics 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
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Computer vision, animal tracking
in
Computer Vision and Pattern Recognition in Environmental Informatics
editor
Zhou, Jun; Bai, Xiao; Caelli, Terry; ; and
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
2016-01-22 11:30:09
date last changed
2017-01-01 08:06:29
@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},
  editor       = {Zhou, Jun and Bai, Xiao and Caelli, Terry},
  isbn         = {9781466694354},
  keyword      = {Computer vision,animal tracking},
  language     = {eng},
  pages        = {107--122},
  publisher    = {IGI Global},
  series       = {Computer Vision and Pattern Recognition in Environmental Informatics},
  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},
  year         = {2015},
}