Sequential Fish Catch Counter Using Vision-based Fish Detection and Tracking
Author:
Affiliation:
1. Waseda University,Dept. of Communications and Computer Engineering,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9775197/9775124/09775327.pdf?arnumber=9775327
Reference10 articles.
1. Deep learning models for the prediction of small-scale fisheries catches: finfish fishery in the region of “Bahía Magadalena-Almejas”
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5. Simple online and realtime tracking with a deep association metric
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