Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking

With efficient appearance learning models, discriminative correlation filter (DCF) has been proven to be very successful in recent video object tracking benchmarks and competitions. However, the existing DCF paradigm suffers from two major issues, i.e., spatial boundary effect and temporal filter de...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 11 vom: 30. Nov., Seite 5596-5609
Auteur principal:	Xu, Tianyang (Auteur)
Autres auteurs:	Feng, Zhen-Hua, Wu, Xiao-Jun, Kittler, Josef
Format:	Article en ligne
Langue:	English
Publié:	2019
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article