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A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture
2019
Computers and Electronics in Agriculture
Recent developments have shown that Deep Learning approaches are well suited for Human Action Recognition. On the other hand, the application of deep learning for action or behaviour recognition in other domains such as animal or livestock is comparatively limited. Action recognition in fish is a particularly challenging task due to specific research challenges such as the lack of distinct poses in fish behavior and the capture of spatio-temporal changes. Action recognition of salmon is
doi:10.1016/j.compag.2019.105087
fatcat:yvjpbboslbeghdtncs7skdilrq