This paper presents a novel, automated approach to tracking and mapping recorded underwater bioluminescent organisms based on their display patterns. In this approach, a computational technique, known as snakes, assists in image segmentation, labeling, tracking and mapping. The results can be used to help researchers identify luminous events and organism species, and extract features such as duration, size, and coordinates of the point of impact from the collected video data.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
This manuscript is available at http://ieeexplore.ieee.org/ and may be cited as: Kocak, D. M., Vitoria Lobo, N., & Widder, E. A. (1996). Tracking and mapping underwater bioluminescent displays using snakes. Oceans 96 MTS/IEEE: Coastal ocean, prospects for the 21st century: conference proceedings, 23-26 September, 1996, Broward County Convention Center, Fort Lauderdale, Florida. (Vol. 3, pp. 1220-1226). Piscataway, NJ: Institute of Electrical and Electronics Engineers. doi:10.1109/OCEANS.1996.569076
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1161.