111 citations · 111 across the 1 of their papers we have counts for
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A Feature Learning and Object Recognition Framework for Underwater Fish Images
Meng-Che Chuang, Jenq-Neng Hwang, Kresimir Williams
Live fish recognition is one of the most crucial elements of fisheries survey applications where vast amount of data are rapidly acquired. Different from general scenarios, challen…
Underwater Fish Tracking for Moving Cameras based on Deformable Multiple Kernels
Meng-Che Chuang, Jenq-Neng Hwang, Jian-Hui Ye +2
Fishery surveys that call for the use of single or multiple underwater cameras have been an emerging technology as a non-extractive mean to estimate the abundance of fish stocks. T…
Tracking Live Fish from Low-Contrast and Low-Frame-Rate Stereo Videos
Meng-Che Chuang, Jenq-Neng Hwang, Kresimir Williams +1
Non-extractive fish abundance estimation with the aid of visual analysis has drawn increasing attention. Unstable illumination, ubiquitous noise and low frame rate video capturing…