Hierarchical Classification in AUV Imagery

Author:

Bewley M. S.,Nourani-Vatani N.,Rao D.,Douillard B.,Pizarro O.,Williams S. B.

Publisher

Springer International Publishing

Reference19 articles.

1. Bewley, M., Douillard, B., Nourani-Vatani, N., Friedman, A., Pizarro, O., Williams, S.: Automated species detection: An experimental approach to kelp detection from sea-floor AUV images (December 2012)

2. Williams, S., Pizarro, O., Jakuba, M., Johnson, C., Barrett, N., Babcock, R., Kendrick, G., Steinberg, P., Heyward, A., Doherty, P., Mahon, I., Johnson-Roberson, M., Steinberg, D., Friedman, A.: Monitoring of benthic reference sites: Using an autonomous underwater vehicle. IEEE Robotics and Automation Magazine 19(1), 73–84 (2012)

3. Smith, D., Dunbabin, M.: Automated counting of the northern pacific sea star in the derwent using shape recognition. In: The Australasian Conference on Robotics & Automation (ACRA), pp. 500–507 (December 2007)

4. Steinberg, D., Friedman, A., Pizarro, O., Williams, S.: A bayesian nonparametric approach to clustering data from underwater robotic surveys. In: International Symposium on Robotics Research (ISRR) (August 2011)

5. National environmental research program (NERP) marine biodiversity hub, scored autonomous underwater vehicle imagery, east tasmania 2008-2010 (2010), http://marine.acfr.usyd.edu.au/datasets

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