no code implementations • 5 Mar 2016 • Meng-Che Chuang, Jenq-Neng Hwang, Kresimir Williams
Toward this end, we propose an underwater fish recognition framework that consists of a fully unsupervised feature learning technique and an error-resilient classifier.
no code implementations • 5 Mar 2016 • Meng-Che Chuang, Jenq-Neng Hwang, Jian-Hui Ye, Shih-Chia Huang, Kresimir Williams
In this paper, a novel tracking algorithm based on the deformable multiple kernels (DMK) is proposed to address these challenges.
no code implementations • 15 Apr 2015 • Meng-Che Chuang, Jenq-Neng Hwang, Kresimir Williams, Richard Towler
Non-extractive fish abundance estimation with the aid of visual analysis has drawn increasing attention.