Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

This paper describes the method of flow velocity estimation of water surface in video imagery by tracking waves using deep neural network for visual object tracking with unsupervised learning.

Jonathon A. Gibbs, Alexandra J. Burgess, Michael P. Pound, Tony P. Pridmore, Erik H. Murchie, Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object ...