![](bg4.png)
Figure 4: The EITS AVED detection results compared with professional annotators.
ACKNOWLEDGEMENTS
We thank the David and Lucile Packard Foundation
for their continued generous support. This project
originated at the 2002 Workshop for Neuromorphic
Engineering in Telluride, Colorado, USA in
collaboration with Dirk Walther, California Institute
of Technology, Pasadena, California, USA. We
thank Karen Salamy for her technical assistance and
the MBARI video lab staff for their interest and
input on the AVED user interface. We thank Edith
Widder, Erika Raymond, and Lee Frey for their
support and interest in using AVED for the EITS
instrument.
REFERENCES
Condor High Throughput Computing, The University of
Wisconsin, Madison, viewed 10 August, 2007,
<http://www.cs.wisc.edu/condor/ >.
Edgington, D.R., Cline, D.E., Davis, D., Kerkez, I., and
Mariette, J. 2006, ‘Detecting, Tracking and
Classifying Animals in Underwater Video’, in
MTS/IEEE Oceans 2006 Conference Proceedings,
Boston, MA, September, IEEE Press.
Howe, N. & A. Deschamps, 2004, ‘Better Foreground
Segmentation Through Graph Cuts’, technical report,
viewed 18 September, 2007,
<http://arxiv.org/abs/cs.CV/0401017>.
iLab Neuromorphic Vision C++ Toolkit at the University
of Southern California, viewed 18 September, 2007,
<http://ilab.usc.edu/toolkit/>.
Itti, L., C. Koch, and E. Niebur, 1998. ‘A model of
saliency-based event visual attention for rapid scene
analyses. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 20(22): p 1254-1259.
Otsu, N. 1979, ‘A Threshold Selection Method from
Gray-Level Histograms’, IEEE Transactions on
Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-
66.
Video Annotation and Reference System (VARS), viewed
12 November, 2007, <http://www.mbari.org/vars/>.
Walther, D., D.R. Edgington, K A. Salamy, M. Risi, R.E.
Sherlock, and Christof Koch, 2003, ‘Automated Video
Analysis for Oceanographic Research’, IEEE
International Conference on Computer Vision and
Pattern Recognition (CVPR), demonstration, Madison,
WI.
Walther, D, D.R. Edgington, C. Koch, Detection and
Tracking of Objects in Underwater Video, 2004, IEEE
International Conference on Computer Vision and
Pattern Recognition (CVPR), Washington, D.C.
Widder, E.A., B.H.Robison, K.R.Reisenbichler,
S.H.D.Haddock, 2005, ‘Using red light for in situ
observations of deep-sea fishes’, Deep-Sea Research, I
52:2077-2085.
AN AUTOMATED VISUAL EVENT DETECTION SYSTEM FOR CABLED OBSERVATORY VIDEO
199