Visual Tracking of Box Jellyfish: A Real-Time Motion Tracking System
Oskarsson, Magnus; Kjellberg, Tobias; Palmér, Tobias; Nilsson, Dan-E, et al. (2015). Visual Tracking of Box Jellyfish: A Real-Time Motion Tracking System In . Zhou, Jun; Bai, Xiao; Caelli, Terry (Eds.). Computer Vision and Pattern Recognition in Environmental Informatics, 107 - 122: IGI Global
Book Chapter
|
Published
|
English
Authors:
Oskarsson, Magnus
;
Kjellberg, Tobias
;
Palmér, Tobias
;
Nilsson, Dan-E
, et al.
Editors:
Zhou, Jun
;
Bai, Xiao
;
Caelli, Terry
Department:
Mathematics (Faculty of Engineering)
Computer Science and Engineering (M.Sc.Eng.)
Functional zoology
Centre for Mathematical Sciences
Mathematical Imaging Group
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Lund Vision Group
Research Group:
Mathematical Imaging Group
Lund Vision Group
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.
Keywords:
Computer vision ;
animal tracking ;
Biological Sciences ;
Other Mathematics
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