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Dynamic Switching State Systems for Visual Tracking
Becker, Stefan
出版KIT Scientific Publishing, 2020-12-02
主題Computers / Information Technology
ISBN37315103839783731510383
URLhttp://books.google.com.hk/books?id=4QcjEAAAQBAJ&hl=&source=gbs_api
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註釋This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.