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Tracking Sports Players with Context-Conditioned Motion Models
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
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Our context-conditioned motion models implicitly incorporate complex inter-object correlations while remaining tractable. ...
We employ hierarchical data association to track players in team sports. Player movements are often complex and highly correlated with both nearby and distant players. ...
In both sports, motion models conditioned on game context features consistently improve tracking results by more than 10%. Figure 2 .Figure 3 . 23 Hierarchical Association. ...
doi:10.1109/cvpr.2013.239
dblp:conf/cvpr/LiuCCL13
fatcat:l2kjh5y2orhcpn45duyzxvclre
Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models
[chapter]
2014
Advances in Computer Vision and Pattern Recognition
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Our context-conditioned motion models implicitly incorporate complex inter-object correlations while remaining tractable. ...
Player movements in team sports are often complex and highly correlated with both nearby and distant players. ...
In both sports, motion models conditioned on game context features consistently improve tracking results by more than 10%. contains a time stamp, the player's location on the ground plane, and the player's ...
doi:10.1007/978-3-319-09396-3_6
fatcat:jjl7oeydpzdrza3hdox3tyuq7a
Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders
[chapter]
2018
Lecture Notes in Computer Science
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Given the volume of data available and its adversarial nature, we focus on the sport of basketball and show that our approach efficiently predicts context-specific agent motions. ...
In this paper, we present a technique using conditional variational autoencoder which learns a model that "personalizes" prediction to individual agent behavior within a group representation. ...
Basketball Tracking Dataset Team sports provide an ideal setting for evaluating personalized behavior models. ...
doi:10.1007/978-3-030-01252-6_45
fatcat:3yqozj6zirf5xplgd73q4tedfy
A Survey of Content-Aware Video Analysis for Sports
2018
IEEE transactions on circuits and systems for video technology (Print)
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2017 pre-print arXiv:1703.01170v1 fatcat:spuyriaxifh6nixvnyxfcxq3f4
Content-aware analysis methods are discussed with respect to object-, event-, and context-oriented groups. ...
Specifically, we focus on the video content analysis techniques applied in sportscasts over the past decade from the perspectives of fundamentals and general review, a content hierarchical model, and trends ...
[58] presented context-conditioned motion models incorporating complex interobject dependencies to track multiple players in team sports over long periods. Yan et al. ...
doi:10.1109/tcsvt.2017.2655624
fatcat:rwqzu46sgfb7tpkcav4ysmh6ae
Analysis of Human Information Recognition Model in Sports Based on Radial Basis Fuzzy Neural Network
2022
Computational Intelligence and Neuroscience
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Therefore, this paper applies it to the analysis of the human body information recognition model in sports. ...
of the entire human body, it is not easy to accurately track the human body movement. ...
(a) Improved model and (b) original model.
(a) Create a context graph for each player based on the real player trajectory on the selected data set and train the RBFNN model. ...
doi:10.1155/2022/5625006
pmid:35665289
pmcid:PMC9162820
fatcat:en6zap6qzfaizodjct3edwwbki
Take your eyes off the ball: Improving ball-tracking by focusing on team play
2014
Computer Vision and Image Understanding
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Accurate video-based ball tracking in team sports is important for automated game analysis, and has proven very difficult because the ball is often occluded by the players. ...
In this paper, we propose a novel approach to addressing this issue by formulating the tracking in terms of deciding which player, if any, M is in possession of the ball at any given time. ...
Given the motion context, the target's location was implemented as a linear regression with respect to the motion of the contextual objects. ...
doi:10.1016/j.cviu.2013.11.010
fatcat:2cqdysvb7zd7lmue2syisf2nra
Local Positioning Systems in (Game) Sports
2011
Sensors
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The paper outlines the idea of IS for the sports context with special focus to game sports and how intelligent sports feedback systems can benefit from IS. ...
Position data of players and athletes are widely used in sports performance analysis for measuring the amounts of physical activities as well as for tactical assessments in game sports. ...
Almost all other papers deal with time-motion analysis (TMA). ...
doi:10.3390/s111009778
pmid:22163725
pmcid:PMC3231285
fatcat:aa3camtpubf3vkz52fdnw4sj4u
Visually Tracking Football Games Based on TV Broadcasts
2007
International Joint Conference on Artificial Intelligence
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and smoothing of player routes, and the disambiguation of tracked players after occlusions. ...
This paper describes ASPOGAMO, a visual tracking system that determines the coordinates and trajectories of football players in camera view based on TV broadcasts. ...
The empirical studies show that the system can cope with difficult and changing lighting conditions, fast camera motions, and distant players. ...
dblp:conf/ijcai/BeetzGBKHP07
fatcat:xz3s4whvqzdf7hufwgtcp5p22m
Automatic Annotation of Sport Video Content
[chapter]
2005
Lecture Notes in Computer Science
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Lower, but still promising, accuracy is achieved on the very difficult player identification task. ...
In this paper, we present a system that performs automatic annotation of soccer videos, detecting principal highlights, and recognizing identity of players. ...
and ball tracking, motion indexes, etc. and relate them to a domain knowledge of the sports or of the video producers. ...
doi:10.1007/11578079_109
fatcat:pxfugfrtlrbevotecciavnjgua
Efficient tracking of team sport players with few game-specific annotations
[article]
2022
arXiv
pre-print
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One of the requirements for team sports analysis is to track and recognize players. Many tracking and reidentification methods have been proposed in the context of video surveillance. ...
Some recent tracking methods have been developed more specifically for the team sport context. ...
Multiple team sport player tracking and reidentification 2.2.1 Tracking Some tracking methods have been proposed for the context of team sports. ...
arXiv:2204.04049v1
fatcat:rjkj37goxjbfjgbfojumprkew4
Collaborative tracking of objects in EPTZ cameras
2007
Visual Communications and Image Processing 2007
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We compared the performance of our joint tracking system with that of tracking only in the HD mode. ...
This paper addresses the issue of multi-source collaborative object tracking in high-definition (HD) video sequences. ...
This condition might not be met in the high motion areas of sports videos. To address this issue, we use the multi-kernel mean-shift algorithm 11 for tracking in the HRC view. ...
doi:10.1117/12.714077
dblp:conf/vcip/BashirP07
fatcat:ktqcuz57kzb4be2pdfdlh2laje
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
[article]
2022
arXiv
pre-print
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This paper presents a comprehensive review of sports video analysis for various applications high-level analysis such as detection and classification of players, tracking player or ball in sports and predicting ...
the trajectories of player or ball, recognizing the teams strategies, classifying various events in sports. ...
Various algorithms use linear motions for multi-player tracking, resulting in poor performance but solves data association problems with appearance models. ...
arXiv:2203.02281v2
fatcat:sstxbtgg6neyxcp47tigj7lbta
A method for identification of moving objects by integrative use of a camera and accelerometers
2012
Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12
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In sports events shown on TV or on the Internet, having the names and uniform numbers of the players displayed beside the players on the screen helps viewers to identify the players. ...
In our method, the method recognizes moving objects by matching the context picked up by the wearable sensors with the context inferred during the image processing. ...
for Embryonic Science and Technology (PRESTO) from the Japan Science and Technology Agency and by a Grant-in-Aid for Scientific Research (A)(20240009) from the Japanese Ministry of Education, Culture, Sports ...
doi:10.1145/2245276.2245278
dblp:conf/sac/MaruhashiTT12
fatcat:muadvefg6bde7o4nkgxw5nla2y
Instantly indexed multimedia databases of real world events
2002
IEEE transactions on multimedia
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This system analyzes video from multiple cameras in real time and captures the activity of the players and the ball in the form of motion trajectories. ...
The system stores these trajectories in a database along with video, three-dimensional (3-D) models of the environment, scores, and other domain-specific information. ...
TRACKING PLAYER MOTION LucentVision uses visual tracking to identify and follow the players using two cameras, each covering one half of the court. ...
doi:10.1109/tmm.2002.1017739
fatcat:676g7lxydndgldziaisfmlzvtm
Examining the functionality of peripheral vision: From fundamental understandings to applied sport science
2017
Current Issues in Sport Science
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saccades in sports situations with high spatio-temporal demands, as in martial arts, and finally, (c) manipulate attentional and visual demands. ...
In a series of studies, we aimed to translate the demands found in sports and to investigate the functionality of peripheral vision in a well-controlled experimental paradigm, the multiple object tracking ...
In this study, expert beach-volleyball players' gaze behavior was examined with a motion-integrated eye-tracking system that allowed for quasinatural action responses. ...
doi:10.15203/ciss_2017.010
fatcat:carb43smhvaopek3kdjhzzxt3u
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