End-to-end representation learning for Correlation Filter based tracking

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017

Volumn 2017-January, Issue , 2017, Pages 5000-5008

  Valmadre, Jack ^a   Bertinetto, Luca ^a   Henriques, Joao ^a   Vedaldi, Andrea ^a   Torr, Philip H S ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; COMPUTER VISION; DEEP NEURAL NETWORKS; IMAGE PROCESSING; PATTERN RECOGNITION;

CLOSED FORM SOLUTIONS; CORRELATION FILTERS; FAST SOLUTIONS; FOURIER DOMAINS; LIGHTWEIGHT ARCHITECTURE; OBJECT TRACKING; STATE-OF-THE-ART PERFORMANCE; TIGHTLY-COUPLED;

DEEP LEARNING;

EID: 85044269699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.531     Document Type: Conference Paper

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