Video Tracking: A Concise Survey Export

@article{citeulike:1938417, abstract = {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.}, author = {Trucco, E. and Plakas, K.}, booktitle = {Oceanic Engineering, IEEE Journal of}, citeulike-article-id = {1938417}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1708000}, journal = {Oceanic Engineering, IEEE Journal of}, keywords = {tracking}, number = {2}, pages = {520--529}, posted-at = {2007-11-19 17:06:52}, priority = {4}, title = {Video Tracking: A Concise Survey}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1708000}, volume = {31}, year = {2006} }

TY - JOUR ID - citeulike:1938417 L3 - citeulike-article-id:1938417 N2 - 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. IS - 2 JF - Oceanic Engineering, IEEE Journal of EP - 529 TI - Video Tracking: A Concise Survey VL - 31 T2 - Oceanic Engineering, IEEE Journal of SP - 520 KW - tracking AU - Trucco, E AU - Plakas, K PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1708000 ER -