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Richard Bowden

Researcher at University of Surrey

Publications -  308
Citations -  13437

Richard Bowden is an academic researcher from University of Surrey. The author has contributed to research in topics: Sign language & Computer science. The author has an hindex of 48, co-authored 265 publications receiving 10775 citations. Previous affiliations of Richard Bowden include Siemens & Brunel University London.

Papers
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Book ChapterDOI

An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection

Pakorn Kaewtrakulpong, +2 more
TL;DR: This paper presents a method which improves this adaptive background mixture model by reinvestigating the update equations at different phases, which allows the system learn faster and more accurately as well as adapts effectively to changing environment.
Book ChapterDOI

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan, +140 more
TL;DR: The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
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 Visual Object Tracking VOT2017 Challenge Results

Matej Kristan, +104 more
TL;DR: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative; results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years.
Book ChapterDOI

The Visual Object Tracking VOT2014 challenge results

Matej Kristan, +56 more
TL;DR: The evaluation protocol of the VOT2013 challenge and the results of a comparison of 27 trackers on the benchmark dataset are presented, offering a more systematic comparison of the trackers.