A Deep Neural Network on Object Recognition Framework for Submerged Fish Images

Author:

Pulidindi Sushma,Kamakshaiah K.,Yeruva Sagar

Publisher

Springer Singapore

Reference10 articles.

1. M.-C. Chuang, J.-N. Hwang, Fellow, K. Williams, A feature learning and object recognition framework for underwater fish images. IEEE Trans. Image Process. 25(4) (2016)

2. C. Spampinato, D. Giordano, R. Di Salvo, Y.-H. J. Chen-Burger, R.B. Fisher, G. Nadarajan, Automatic fish classification for underwater species behaviour understanding, in Proceedings of the 1st ACM International Workshop ARTEMIS, pp. 45–50 (2010)

3. C. Spampinato, Y.-H. Chen-Burger, G. Nadarajan, R.B. Fisher, Detecting, tracking and counting fish in low quality unconstrained underwater videos, in Proceedings of VISAPP, vol. 2, pp. 514–519 (2008)

4. K. Williams, R. Towler, C. Wilson, Cam-trawl: a combination trawl and stereo-camera system. Sea Technol. 51(12), 45–50 (2010)

5. M.-C. Chuang, J.-N. Hwang, K. Williams, R. Towler, Multiple fish tracking via Viterbi data association for low-frame-rate underwater camera systems, in Proceedings of IEEE International Symposium Circuits Systems (ISCAS) (May 2013), pp. 2400–2403

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