Danelle E. Cline
Software Engineer
Monterey Bay Aquarium Research Institute
7700 Sandholdt Road
Moss Landing, CA 95039
Phone: (831) 775-1947
Fax: (831) 775-1652
email: dcline@mbari.org
Since 1993, through her career at MBARI and previously at NASA Ames Research Center, she has worked on developing scientific instruments to study the atmosphere and the oceans.
What she enjoys most about her work here at MBARI are the multi-disciplinary projects that stem from the diverse people here and the unique peer relationship between science and engineering. Each new project challenges her to learn new methods, like most recently parallel programming and neuromorphic engineering methods !
Most of her recent work involves applying computer-aided image processing to help scientist analyze underwater video and still imagery. She is Lead Engineer for the Automated Visual Event Detection Project (AVED) and Lead Engineer on a small project to apply computer classification software to analyze still images from a deep water site called Station M.
Please contact Danelle if you are interested in learning more about her projects.
Here are a select few past and present MBARI projects that she has significantly contributed to:
Eye-in-the-Sea |
Automated Visual Event Detection 
|
Environmental
Sample Processor |
Laser
Raman Spectroscopy |
Patents
Education
University of California, Santa Cruz, 1996 M.S. in Computer Engineering
California State University, Fresno, 1992 B.S. in Electrical Engineering
Publications
Cline, D.E., Edgington, D.R., Mariette, J., An Automated Visual Event Detection System for Cabled Observatory Video. MTS/IEEE Oceans 2007 Conference Proceedings, Vancouver, Canada September 2007. IEEE Press. [PDF/0.3 MB]
Edgington, D R, Kerkez, I, Oliver, D. Cline, D E, Kuhnz, L, Walther, D, Ranzato, M, Perona, P, “Detection and Classification of Rathbunaster Californicus in Underwater Video”, Eos. Trans. AGU, 86(18), , Jt. Assem. Suppl., Abstract U24A-05
Cline, D., et. al, “The Environmental Sample Processor (ESP) Software Design: Software for Detection and Quantification of Microorganisms”, Oceans 2001 Conference ’01 Proceedings, Marine Technology Society and IEEE, vol. 1 pp 287-294 [PDF/0.5MB]
Edgington, Duane R., Dirk Walther, Danelle E. Cline, R. E. Sherlock, and Christof Koch, Detecting and Tracking Animals in Underwater Video, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), demonstration, Washington, D.C., 2004.
P.G. Brewer, J. Pasteris, G. Malby, E. Peltzer, S. White, J. Freeman, B. Wopenka, M. Brown, D. Cline, "Laser Raman spectroscopy used to study the ocean at 3600m depth," EOS, 83, 469-470, 2002. [PDF/0.90 MB]
Scholin, C., Massion, G., Mellinger, E., Brown, M., Wright, D., Cline, D.,“The Development and Application of Molecular Probes and Novel Instrumentation for Detection of Harmful Algae”,Ocean Community Conference ’98 Proceedings, Marine Technology Society, vol. 1 pp. 367-370.
Scholin, Marin, Doucette, Massion, Jensen, Roman, Cline, D., “Remote, in situ detection of harmful algal bloom species using the Environmental Sample Processor (ESP)”. American Society of Limnology and Oceanography. June '02, Victoria, B.C., Canada