首页|New Robotics and Automation Study Findings Have Been Reported from Shanghai Jiao Tong University (Multibeam Forward-looking Sonar Video Object Tracking Using Truncated L1-l2 Sparsity and Aberrances Repression Regularization)
New Robotics and Automation Study Findings Have Been Reported from Shanghai Jiao Tong University (Multibeam Forward-looking Sonar Video Object Tracking Using Truncated L1-l2 Sparsity and Aberrances Repression Regularization)
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NETL
NSTL
IEEE
Investigators discuss new findings in Robotics Robotics and Automation. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Multibeam forward-looking sonar (MFLS) video object tracking is a challenging problem due to the negative impacts of weak features and background clutter. In this letter, a novel multibeam forward-looking sonar video object tracking method via hybrid regularization scheme is proposed.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Shanghai Jiao Tong University, “The proposed regularization scheme is a composite method with truncated l(1)-l(2) sparsity regularization and aberrances repression regularization. While the truncated l(1)-l(2) sparsity regularization explores the structural sparsity of the learned filter to address background clutter, the aberrances repression regularization can alleviate the undesired spatial bounding effect. The resulting optimization problem is solved by alternating direction method of multipliers (ADMM). A proximal operator with truncated soft-thresholding scheme is proposed for the sub-problem with truncated l(1)-l(2) sparsity regularization.” According to the news editors, the research concluded: “Experiments based on five multibeam forwardlooking sonar videos for underwater docking validate the effectiveness of the proposed method, compared to other 8 state-of-the-art tracking methods.” This research has been peer-reviewed.
ShanghaiPeople’s Republic of ChinaAsiaRobotics and AutomationRoboticsShanghai Jiao Tong University
NETL
NSTL
IEEE
