Tracking the Motion of Box Jellyfish
(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:
https://lup.lub.lu.se/record/5142551
- author
- Kjellberg, Tobias ; Palmér, Tobias LU ; Oskarsson, Magnus LU and Åström, Karl LU
- organization
- publishing date
- 2014
- 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
- 2021-11-17 02:20:17
@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}}, keywords = {{Computer Vision; Tracking; Machine Learning}}, language = {{eng}}, title = {{Tracking the Motion of Box Jellyfish}}, url = {{https://lup.lub.lu.se/search/files/6148644/5142552.pdf}}, year = {{2014}}, }