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Zhen-Hua Feng

Researcher at University of Surrey

Publications -  18
Citations -  1584

Zhen-Hua Feng is an academic researcher from University of Surrey. The author has contributed to research in topics: Video tracking & Discriminative model. The author has an hindex of 6, co-authored 18 publications receiving 813 citations.

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Book ChapterDOI

The sixth visual object tracking VOT2018 challenge results

Matej Kristan, +158 more
TL;DR: The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative; results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Proceedings ArticleDOI

The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, +179 more
TL;DR: The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative; results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Journal ArticleDOI

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

TL;DR: Wang et al. as mentioned in this paper proposed a new discriminative correlation filter (DCF) based tracking method with adaptive spatial feature selection and temporal consistent constraints, with which the new tracker enables joint spatial-temporal filter learning.
Book ChapterDOI

The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan, +109 more
TL;DR: A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in theVDT challenges.
Proceedings ArticleDOI

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, +131 more