A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking

被引：0
|
作者：
Kubo, Akihiro [1 ]
Meshgi, Kourosh [2 ]
Ishii, Shin [1 ]
机构：
[1] Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan
[2] The RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
来源：
Journal of Intelligent and Robotic Systems: Theory and Applications | 2021年 / 101卷 / 01期
关键词：
Computer vision problems - Correlation filters - Histogram of oriented gradients (HOG) - Q-learning approach - Real world videos - Robust tracking - Visual object tracking - Visual Tracking;
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