Visual Tracking of Box Jellyfish: A Real-Time Motion Tracking System
(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:
https://lup.lub.lu.se/record/8519257
- author
- Oskarsson, Magnus
LU
; Kjellberg, Tobias ; Palmér, Tobias LU ; Nilsson, Dan-E LU and Åström, Karl LU
- organization
-
- Mathematics (Faculty of Engineering)
- Computer Science and Engineering (M.Sc.Eng.)
- Functional zoology
- Centre for Mathematical Sciences
- Mathematical Imaging Group (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- Lund Vision Group (research group)
- publishing date
- 2015
- 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
- 2024-01-13 03:11:44
@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}}, }