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Computer vision techniques for quantifying, tracking, and identifying bioluminescent plankton
| Title: | Computer vision techniques for quantifying, tracking, and identifying bioluminescent plankton. |
 125 views 54 downloads |
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| Name(s): |
Kocak, D. M., creator da Vitoria Lobo, N., creator Widder, Edith A., creator Harbor Branch Oceanographic Institute |
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| Type of Resource: | text | |
| Genre: | Article | |
| Issuance: | single unit | |
| Date Issued: | 1999 | |
| Publisher: | IEEE | |
| Extent: | 16 p. | |
| Physical Description: | ||
| Language(s): | English | |
| Identifier: | 3183711 (digitool), FADT3183711 (IID), fau:5960 (fedora), 10.1109/48.740157 (doi) | |
| Note(s): |
This paper applies computer vision techniques to underwater video images of bioluminescent biota for quantifying, tracking, and identification. Active contour models are adapted for computerized image segmentation, labeling, tracking, and mapping of the bioluminescent plankton recorded by low-light-level video techniques. The system automatically identifies luminous events and extracts features such as duration, size, and coordinates of the point of impact, and uses this information to taxonomically classify the plankton species. 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., da Vitoria Lobo, N., & Widder, E. A. (1999). Computer vision techniques for quantifying, tracking, and identifying bioluminescent plankton. IEEE Journal of Oceanic Engineering, 24(1), (pp. 81-95). doi:10.1109/48.740157 Florida Atlantic University. Harbor Branch Oceanographic Institute contribution #1261. |
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| Subject(s): |
Underwater imaging systems Computer vision |
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| Persistent Link to This Record: | http://purl.flvc.org/FCLA/DT/3183711 | |
| Links: | http://dx.doi.org/10.1109/48.740157 | |
| Restrictions on Access: | ©1999 IEEE | |
| Host Institution: | FAU |
