Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00235465" target="_blank" >RIV/68407700:21230/14:00235465 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports
Original language description
In this paper we focus on tracking of players in team sports with multiple cameras. We evaluate a state of the art multi-camera multi-target tracking algorithm on a novel floorball dataset. We chose recent Probabilistic Occupancy Map and K-Shortest Pathalgorithms with a publicly available implementation that enables easy deployment. Both algorithms are mathematically well funded and capable of near real-time performance. We show quantitative evaluation of the algorithms on a real-world problem, and demonstrate influence of different background subtraction methods that are a necessary preprocessing step.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Scientific Student Conferenece POSTER 2014
ISBN
978-80-01-05499-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
ČVUT
Place of publication
Praha
Event location
Praha
Event date
May 15, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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