How Computer Vision Is Used to Save Precious and Endangered Fish Species
Delta smelt are small, silvery fish endemic to the upper San Francisco Bay-Delta Estuary in northern California. Their population declined dramatically since 1980s and currently listed as threatened federally and endangered by the state of California. A lot of effort has been made on the conservation of this fish species, and cultured fish has been used for research purposes. A crucial part of many studies is tracking and identifying individual fish. However, the options for marking individual small size fishes are very limited.
In this presentation, the conservation efforts made by the UC Davis Fish Conservation and Culture Lab will first be introduced followed by the evaluation of applying automated image matching program on fish recognition using chromatophores as natural marks. The results indicated that it is feasible to identify individual fish using their external natural marks. Factors including ambient light intensity, life stage, and gender were also evaluated for their influence on the identification results.
Prof. Tien-Chieh Hung, Adjunct Assistant Professor, Biological and Agricultural Engineering, UC Davis. Prof. Tien-Chieh Hung works in the area of aquacultural engineering including computational fluid dynamics, biomimetic particle filtration system design, recirculating culture system design, cultural technique development, and fish behavior. He has been working with listed fish species since 2008 and is director of the Fish Conservation and Culture Laboratory and manages the refuge population of the delta smelt. His current study is focusing on the fish culture technique improvement, marking method development, domestication effects on the captive fish, and integrated aquaculture.
This event was co-Sponsored by Gardening North America Group.