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High-speed High-performance Visual Tracker via Correlation Filter with Compressed Deep Feature
Cited 1 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2018-10
- Publisher
- IEEE
- Citation
- 2018 18TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), pp.158-163
- Abstract
- This paper introduces a context-aware correlation filter based tracker to achieve both high speed and high performance. We achieve high speed via deep feature compression based on a context-aware scheme utilizing multiple expert auto-encoders. To achieve high performance with the compressed feature map, we introduce extrinsic denoising processes and a new orthogonality loss term for pre-training and fine-tuning of the expert auto-encoders. In experiments, the proposed tracker is verified to achieve a comparable performance to state-of-the-art with running at over 100 fps.
- ISSN
- 2093-7121
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