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

Summary, in English

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.

• Författare: Magnus Oskarsson; Tobias Kjellberg; Tobias Palmér; Dan-E Nilsson; Karl Åström
• Redaktör: Jun Zhou; Xiao Bai; Terry Caelli
• Avdelning/ar: Matematik LTH; Datateknik (CI); Funktionell zoologi; Matematikcentrum; Mathematical Imaging Group; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; eSSENCE: The e-Science Collaboration; Syngruppen
• Publiceringsår: 2015
• Språk: Engelska
• Sidor: 107-122
• Publikation/Tidskrift/Serie: Computer Vision and Pattern Recognition in Environmental Informatics
• Länkar: http://dx.doi.org/10.4018/978-1-4666-9435-4.ch006
• Dokumenttyp: Del av eller Kapitel i bok
• Förlag: IGI Global
• Ämne: Biological Sciences; Other Mathematics
• Nyckelord: Computer vision; animal tracking
• Status: Published
• Forskningsgrupp: Mathematical Imaging Group; Lund Vision Group
• ISBN/ISSN/Övrigt: ISBN: 9781466694354; ISBN: 9781466694361