Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Patrick Lucey"'
Publikováno v:
IEEE Transactions on Affective Computing. 10:48-59
While watching movies, audience members exhibit both subtle and coarse gestures (e.g., smiles, head-pose change, fidgeting, stretching) which convey sentiment (i.e., engaged or disengaged) during feature length movies. Noticing these behaviors using
Publikováno v:
CVPR
The increasing number of vision-based tracking systems deployed in production have necessitated fast, robust camera calibration. In the domain of sport, the majority of current work focuses on sports where lines and intersections are easy to extract,
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 12:1-18
As teams of professional leagues are becoming more and more analytically driven, the interest in effective data management and access of sports plays has dramatically increased. In this article, we present a retrieval system that can quickly find the
Autor:
Sridha Sridharan, Jennifer Hobbs, Patrick Lucey, Charlie Rohlf, Yisong Yue, Long Sha, Xinyu Wei
Publikováno v:
ACM Transactions on Computer-Human Interaction. 25:1-32
Analytics in professional sports has experienced a dramatic growth in the last decade due to the wide deployment of player and ball tracking systems in team sports, such as basketball and soccer. With the massive amount of fine-grained data being gen
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 28:2988-2997
In professional sport, an enormous amount of fine-grain performance data can be generated at near millisecond intervals in the form of vision-based tracking data. One of the first sports to embrace this technology has been tennis, where Hawk-Eye tech
Autor:
Alina Bialkowski, Patrick Lucey, Clinton Fookes, Iain Matthews, Sridha Sridharan, Peter W. Carr
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 28:2596-2605
In team sports like soccer, utilizing tracking data for analysis is challenging due to the dynamic and multi-agent nature of the data. The biggest issue surrounds the changing of positions or “roles” between players on a frame-to-frame basis, whi
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012519
ECCV (11)
ECCV (11)
Simultaneously and accurately forecasting the behavior of many interacting agents is imperative for computer vision applications to be widely deployed (e.g., autonomous vehicles, security, surveillance, sports). In this paper, we present a technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87cf572693acea083ac960e7a1058b9b
https://doi.org/10.1007/978-3-030-01252-6_45
https://doi.org/10.1007/978-3-030-01252-6_45
Publikováno v:
KDD
In soccer, the most frequent event that occurs is a pass. For a trained eye, there are a myriad of adjectives which could describe this event (e.g., "majestic pass", "conservative" to "poor-ball"). However, as these events are needed to be coded live
Publikováno v:
KDD
The last two years have been somewhat of a rollercoaster for English Premier League (EPL) team Leicester City. In the 2015/16 season, against all odds and logic, they won the league to much fan-fare. Fast-forward nine months later, and they are battl
Publikováno v:
IUI
The recent explosion of sports tracking data has dramatically increased the interest in effective data processing and access of sports plays (i.e., short trajectory sequences of players and the ball). And while there exist systems that offer improved