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Zhu et al., 2018 - Google Patents

Dynamic collaborative tracking

Zhu et al., 2018

Document ID
1554905747834835049
Author
Zhu G
Zhang Z
Wang J
Wu Y
Lu H
Publication year
Publication venue
IEEE Transactions on Neural Networks and Learning Systems

External Links

Snippet

Correlation filter has been demonstrated remarkable success for visual tracking recently. However, most existing methods often face model drift caused by several factors, such as unlimited boundary effect, heavy occlusion, fast motion, and distracter perturbation. To …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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