The research project 'Sensor-based, Automatic Analysis of Football Games' is an ambitious, mid-term research project that studies the automation of these tasks. The main objectives of the project are (1) the investigation of novel computational mechanisms that enable computer systems to recognize intentional activities, (2) the development of an integrated software system to automate game interpretation and analysis, and (3) the demonstration of the impact of automated game analysis on application areas, such as sport science, football coaching, and sports entertainment.
For further information and videos please visit the ASpoGAMo Homepage.
This project is partly funded by the DFG under contract ASPOGAMO.
Importance Sampling as One Solution to the Data Association Problem in Multi-target Tracking , Chapter in VISIGRAPP 2009 (AlpeshKumar Ranchordas, Helder Araujo, eds.), Springer-Verlag Berlin Heidelberg, 2010. [bib] |
ASpoGAMo: Automated Sports Game Analysis Models , In International Journal of Computer Science in Sport, volume 8, 2009. [bib] [pdf] |
Computerized Real-Time Analysis of Football Games , In IEEE Pervasive Computing, volume 4, 2005. [bib] [pdf] |
Rao-Blackwellized Resampling Particle Filter for Real-Time Player Tracking in Sports , In Fourth International Conference on Computer Vision Theory and Applications (VISAPP) (AlpeshKumar Ranchordas, Helder Araujo, eds.), INSTICC press, volume 1, 2009. [bib] [pdf] |
Robust real-time multiple target tracking , In Ninth Asian Conference on Computer Vision (ACCV), 2009. [bib] [pdf] |
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas , In WSOM (José Carlos Pr\'\incipe, Risto Miikkulainen, eds.), Springer, volume 5629, 2009. [bib] [pdf] |
GrAM: Reasoning with Grounded Action Models by Combining Knowledge Representation and Data Mining , In Towards Affordance-based Robot Control, 2007. [bib] [pdf] |
An Adaptive Vision System for Tracking Soccer Players from Variable Camera Settings , In Proceedings of the 5th International Conference on Computer Vision Systems (ICVS), 2007. [bib] [pdf] |
Visually Tracking Football Games Based on TV Broadcasts , In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI), 2007. [bib] [pdf] |
Camera-based Observation of Football Games for Analyzing Multi-agent Activities , In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2006. [bib] [pdf] |
Watching Football with the Eyes of Experts: Integrated Intelligent Systems for the Automatic Analysis of (Simulated) Football Games , In 5th Annual Conference dvs-Section Computer Science in Sport, 2004. [bib] |
Motion and Episode Models for (Simulated) Football Games: Acquisition, Representation, and Use , In 3rd International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS), 2004. [bib] [pdf] |
Interpretation and Processing of Position Data for the Empirical Study of the Behavior of Simulation League Robocup Teams , In KI 2004 Workshop, 2004. [bib] [pdf] |
Real-time Tracking of Player Identities in Team Sports , PhD thesis, Technische Universität München, 2011. [bib] |
Continual and Robust Estimation of Camera Parameters in Broadcasted Sports Games , PhD thesis, Technische Universität München, 2009. [bib] |