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This paper addresses video tracking, the problem of following moving targets automatically over a video sequence, and brings three main contributions. First, we give a concise introduction to video tracking in computer vision, including design requirements and a review of recent techniques, with some details of selected algorithms. Second, we give an overview of 28 recent papers on subsea video tracking and related motion analysis problems, arguably capturing the state-of-the-art of subsea video tracking. We summarize key features in a comparative, at-a-glance table, and discuss this work in comparison to the state-of-the-art in computer vision. Third, we identify well-proven computer vision techniques not yet embraced by the subsea research community, suggesting useful research directions for the subsea video processing community
Trucco et al. (Sat,) studied this question.