% generated by bibtexbrowser % % Encoding: UTF-8 @inproceedings{beetz_camera-based_2006, author = {M Beetz and J Bandouch and S Gedikli and Nvon Hoyningen-Huene and B Kirchlechner and A Maldonado}, title = {Camera-based Observation of Football Games for Analyzing Multi-agent Activities}, booktitle = {Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems ({AAMAS)}}, year = {2006}, abstract = {This paper describes a camera-based observation system for football games that is used for the automatic analysis of football games and reasoning about multi-agent activity. The observation system runs on video streams produced by cameras set up for {TV} broadcasting. The observation system achieves reliability and accuracy through various mechanisms for adaptation, probabilistic estimation, and exploiting domain constraints. It represents motions compactly and segments them into classified ball actions.}, keywords = {soccer}, } @inproceedings{beetz_watching_2004, author = {M. Beetz and F. Fischer and S. Flossmann and B. and UA. Kirchlechner and C. Holzer}, title = {Watching Football with the Eyes of Experts: Integrated Intelligent Systems for the Automatic Analysis of (Simulated) Football Games}, booktitle = {5th Annual Conference dvs-Section Computer Science in Sport}, year = {2004}, keywords = {soccer}, } @inproceedings{beetz_motion_2004, author = {M Beetz and S Flossmann and T Stammeier}, title = {Motion and Episode Models for (Simulated) Football Games: Acquisition, Representation, and Use}, booktitle = {3rd International Joint Conference on Autonomous Agents \& Multi Agent Systems ({AAMAS)}}, year = {2004}, keywords = {soccer}, } @inproceedings{beetz_visually_2007, author = {M Beetz and S Gedikli and J Bandouch and B Kirchlechner and Nvon Hoyningen-Huene and A Perzylo}, title = {Visually Tracking Football Games Based on {TV} Broadcasts}, booktitle = {Proceedings of the Twentieth International Joint Conference on Artificial Intelligence ({IJCAI)}}, year = {2007}, abstract = {This paper describes {ASPOGAMO}, a visual tracking system that determines the coordinates and trajectories of football players in camera view based on {TV} broadcasts. To do so, {ASPOGAMO} solves a complex probabilistic estimation problem that consists of three subproblems that interact in subtle ways: the estimation of the camera direction and zoom factor, the tracking and smoothing of player routes, and the disambiguation of tracked players after occlusions. The paper concentrates on system aspects that make it suitable for operating under unconstrained conditions and in (almost) realtime. We report on results obtained in a public demonstration at {RoboCup} 2006 where we conducted extensive experiments with real data from live coverage of World Cup 2006 games in Germany.}, keywords = {soccer}, } @article{beetz_aspogamo:_2009, author = {M Beetz and Nvon Hoyningen-Huene and B Kirchlechner and S Gedikli and F Siles and Mand LM Durus}, title = {{ASpoGAMo:} Automated Sports Game Analysis Models}, journal = {International Journal of Computer Science in Sport}, year = {2009}, volume = {8}, number = {1}, abstract = {We propose automated sport game models as a novel technical means for the analysis of team sport games. The basic idea is that automated sport game models are based on a conceptualization of key notions in such games and probabilistically derived from a set of previous games. In contrast to existing approaches, automated sport game models provide an analysis that is sensitive to their context and go beyond simple statistical aggregations allowing objective, transparent and meaningful concept definitions. Based on automatically gathered spatio-temporal data by a computer vision system, a model hierarchy is built bottom up, where context-sensitive concepts are instantiated by the application of machine learning techniques. We describe the current state of implementation of the {ASpoGaMo} system including its computer vision subsystem that realizes the idea of automated sport game models. Their usage is exemplified with an analysis of the final of the soccer World Cup 2006.}, keywords = {soccer}, } @article{beetz_computerized_2005, author = {M Beetz and B Kirchlechner and M Lames}, title = {Computerized Real-Time Analysis of Football Games}, journal = {{IEEE} Pervasive Computing}, year = {2005}, volume = {4}, pages = {33--39}, number = {3}, abstract = {The research reported in this article is part of an ambitious, mid-term project that studies the automated analysis of football games. The input for game analysis is position data provided by tiny microwave senders that are placed into the ball and the shin guards of football players. The main objectives of the project are (1) the investigation of novel computational mechanisms that enable computer systems to recognize intentional activities based on position data, (2) the development of an integrated software system to automate game interpretation and analysis, and (3) the demonstration of the impact of automatic game analysis on sport science, football coaching, and sports entertainment. The results are to be showcased in the form of an intelligent information system for the matches at the Football World Championship 2006 in Germany.}, keywords = {soccer}, } @inproceedings{bigontina_pose_OGRW_2014, author = {A Bigontina and M Herrmann and M Hoernig and B Radig}, title = {Human Body Part Classification in Monocular Soccer Images}, booktitle = {9-th Open German-Russian Workshop on Pattern Recognition and Image Understanding}, year = {2014}, address = {Koblenz}, month = {12}, keywords = {Articulated Pose Estimation, Human Body Pose Estimation, Pixel-based Classification, Random Forests, soccer}, owner = {herrmmic}, timestamp = {2014.12.04}, } @phdthesis{durus_ball_tracking_2014, author = {M Durus}, title = {Ball Tracking and Action Recognition of Soccer Players in TV Broadcast Videos}, school = {Technische Universität München}, year = {2014}, address = {München}, keywords = {soccer}, url = {http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20140414-1145077-0-1}, } @phdthesis{gedikli_continual_2009, author = {S Gedikli}, title = {Continual and Robust Estimation of Camera Parameters in Broadcasted Sports Games}, school = {Technische Universität München}, year = {2009}, keywords = {soccer}, } @inproceedings{gedikli_adaptive_2007, author = {S Gedikli and J Bandouch and Nvon Hoyningen-Huene and B Kirchlechner and M Beetz}, title = {An Adaptive Vision System for Tracking Soccer Players from Variable Camera Settings}, booktitle = {Proceedings of the 5th International Conference on Computer Vision Systems ({ICVS)}}, year = {2007}, abstract = {In this paper we present {ASpoGAMo}, a vision system capable of estimating motion trajectories of soccer players taped on video. The system performs well in a multitude of application scenarios because of its adaptivity to various camera setups, such as single or multiple camera settings, static or dynamic ones. Furthermore, {ASpoGAMo} can directly process image streams taken from {TV} broadcast, and extract all valuable information despite scene interruptions and cuts between different cameras. The system achieves a high level of robustness through the use of modelbased vision algorithms for camera estimation and player recognition and a probabilistic multi-player tracking framework capable of dealing with occlusion situations typical in team-sports. The continuous interplay between these submodules is adding to both the reliability and the efficiency of the overall system.}, keywords = {soccer}, } @article{herrmmic_tracking_2014, author = {M Herrmann and M Hoernig and B Radig}, title = {Online Multi-player Tracking in Monocular Soccer Videos }, journal = {AASRI Procedia }, year = {2014}, volume = {8}, pages = {30 - 37}, number = {0}, issn = {2212-6716}, keywords = {computer vision; soccer}, url = {http://www.sciencedirect.com/science/article/pii/S2212671614000730}, } @article{hoernig_real-time_2014, author = {M Hoernig and M Herrmann and B Radig}, title = {Real-Time Segmentation Methods for Monocular Soccer Videos}, journal = {Pattern Recogntion and Image Analysis, To appear}, year = {2015}, keywords = {soccer}, } @inproceedings{hoernig_shot_detection_2014, author = {M Hoernig and M Herrmann and B Radig}, title = {Multi Temporal Distance Images for Shot Detection in Soccer Games}, booktitle = {EUSIPCO 2014 (22nd European Signal Processing Conference 2014) (EUSIPCO 2014)}, year = {2014}, address = {Lisbon, Portugal}, month = {sep}, abstract = {We present a new approach for video shot detection and introduce multi temporal distance images (MTDIs), formed by chi-square based similarity measures that are calculated pairwise within a floating window of video frames. By using MTDI-based boundary detectors, various cuts and transitions in various shapes (dissolves, overlayed effects, fades, and others) can be determined. The algorithm has been developed within the special context of soccer game TV broadcasts, where a particular interest in long view shots is intrinsic. With a correct shot detection rate in camera 1 shots of 98.2\% within our representative test data set, our system outperforms competing state-of-the-art systems.}, days = {1}, keywords = {soccer video analysis; video indexing; multi temporal distance image (MTDI); video segmentation; video shot boundary detection; soccer}, } @inproceedings{hoernig_real_2013, author = {M Hoernig and M Herrmann and B Radig}, title = {Real Time Soccer Field Analysis from Monocular {TV} Video Data}, booktitle = {11th International Conference on Pattern Recognition and Image Analysis ({PRIA-11-2013)}}, year = {2013}, volume = {2}, pages = {567--570}, address = {Samara}, month = {sep}, publisher = {The Russian Academy of Sciences}, keywords = {soccer}, } @phdthesis{von_hoyningen-huene_real-time_2011, author = {N von Hoyningen-Huene}, title = {Real-time Tracking of Player Identities in Team Sports}, school = {Technische Universität München}, year = {2011}, keywords = {soccer}, } @inproceedings{hoyningen-huene_rao-blackwellized_2009, author = {Nvon Hoyningen-Huene and M Beetz}, title = {Rao-Blackwellized Resampling Particle Filter for Real-Time Player Tracking in Sports}, booktitle = {Fourth International Conference on Computer Vision Theory and Applications ({VISAPP)}}, year = {2009}, editor = {Ranchordas, {AlpeshKumar} and Araujo, Helder}, volume = {1}, pages = {464--470}, address = {Lisboa, Portugal}, month = {feb}, publisher = {{INSTICC} press}, abstract = {Tracking multiple targets with similiar appearance is a common task in computer vision applications, especially in sports games. We propose a Rao-Blackwellized Resampling Particle Filter ({RBRPF)} as an implementable real-time continuation of a state-of-the-art multi-target tracking method. Target configurations are tracked by sampling associations and solving single-target tracking problems by Kalman filters. As an advantage of the new method the independence assumption between data associations is relaxed to increase the robustness in the sports domain. Smart resampling and memoization is introduced to equip the tracking method with real-time capabilities in the first place. The probabilistic framework allows for consideration of appearance models and the fusion of different sensors. We demonstrate its applicability to real world applications by tracking soccer players captured by multiple cameras through occlusions in real-time.}, keywords = {soccer}, } @phdthesis{siles_canales_automated_2014, author = {F Siles Canales}, title = {Automated Semantic Annotation of Football Games from {TV} Broadcast}, school = {Technische Universität München}, year = {2014}, address = {München}, abstract = {The main objective of this thesis is to investigate mechanisms for the creation of a computational system, for the automated semantic annotation of football games from {TV} broadcast. An abstract model is used for the representation of football, and for storing and retrieving relevant information for answering football-related queries. The principal hypothesis is that the model can be populated, based on the trajectories of the targets on the field of play.}, keywords = {soccer}, url = {http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20140214-1169627-0-7}, }