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DAFT & RGB-D Texture Feature Evaluation toolkit

These RGBD Datasets can be used to evaluate texture feature detectors & descriptors that use the depth information provided by a Kinect camera.

Parts of it were created for the publication [Distinctive Texture Features from Perspective-Invariant Keypoints] (implementation at ).
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            [abstract] => I started working as a research assistant at the Intelligent Autonomous Systems Group in December 2011 and I am mainly cooperating with Dejan Pangeric, Dipl.-Ing. I am mostly involved in robotics perception, however, I have very broad interests in robotics and machine learning fields. I am currently undertaking Master of Robotics, Cognition and Intelligence at Technical University of Munich.
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I'm a postdoctoral researcher supported from ERASMUS MUNDUS BEAM scholarship of European Commission. I got my Ph.D degree from the department of Mechanical and Aerospace Engineering of Seoul National University (advised by Prof. Frank C. Park) and worked as a postdoctoral researcher for Humanoid Robot Research Center (HUBO Lab) in 2011.
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Before I joined the Intelligent Autonomous Systems Group I studied Computer Science at TUM. I'm currently working on the import of knowledge from the world wide web into the knowledge base of our mobile robots. In particular, my current research focuses on understanding natural-language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com.
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            [abstract] => We are looking for the students to work on the following topics as within their B.Sc., M.Sc, Guided Research projects:

	*  In-hand object of daily use modelling (together with Slobodan Ilic)
	*  Robust and accurate object of daily use tracking for mobile manipulation ([decription], together with Sorin Grigorescu)
	*   Knowledge modeling for robot indoor mapping ([description], supervised by Ziyuan Liu)
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I obtained the Doctor in computer science from TUM in November 2011 for my thesis titled Knowledge Processing for Autonomous Robots. Previously, I studied Electrical Engineering and Information Technology at the RWTH Aachen, Germany, and Robotics and Embedded Systems at the ENSTA in Paris, France. I spent one year as an intern at the Accenture Technology Labs in …
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            [abstract] => Professors

	*  Prof. Dr. Bernd Radig
	*  Prof. Dr. Carsten Steger

Prof. Michael Beetz has moved to the University of Bremen in Summer 2012, and parts of the group will follow over the course of the next months. The website of the IAS group in Bremen can be found at .
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            [abstract] => Currently we have four robot platforms in our lab: PR2, TUM Rosie, iCub and Bender. The PR2 was provided by the Willow Garage Beta Program. TUM Rosie has been built around the KUKA-omnidirectional base and KUKA-lightweight LWR-4 arms. The iCub is a small-size humanoid robot being designed by the RobotCub Consortium, consisting of several European universities. B21 is the alumnus of robots in our robot-park.
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            [abstract] => Vorlesungen

	*  Technical Cognitive Systems (IN2222)
	*  Bildverstehen I: Methoden der industriellen Bildverarbeitung (IN2023)

Seminar

	*  Master-Seminar: Robot Learning (IN2107, IN8901, IN4611)
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	*  Bildverstehen I: Methoden der industriellen Bildverarbeitung (IN2023)
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    [creator] => Prof. Dr. Carsten Steger
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            [abstract] => Lectures

	*  Bildverstehen I: Methoden der industriellen Bildverarbeitung (IN2023)
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    [creator] => Moritz Tenorth
    [user] => tenorth
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            [tenorth] => Moritz Tenorth
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            [abstract] => Seminar

	*  Master-Seminar - Wissensrepräsentation in der künstlichen Intelligenz (IN2107, IN8901, IN4611)
	*  Master-Seminar - Mensch-Roboter Interaktion (IN2107, IN8901, IN4532)

Praktikum

	*  Master-Praktikum - Sensorgestützte intelligente Umgebungen (IN2106, IN8902, IN4053)
	*  Master-Praktikum - KI-basierte Robotersteuerung (IN2106, IN8902, IN4056)
	*  Master-Praktikum - Innovation@CoTeSys (IN2106, IN8902, IN4109)
        )

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            [sturmju] => Juergen Sturm
            [lohr] => Quirin Lohr
            [tenorth] => Moritz Tenorth
            [jain] => Dominik Jain
            [kirsch] => Dr. Alexandra Kirsch
            [weikersd] => David Tim Weikersdorfer
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            [abstract] => Large-scale integrative projects

	*  cotesys: Cognition for Technical Systems

Task-level planning and execution

	*  cram: Cognitive Robot Abstract Machine
	*  para: Planning for Adaptive Robot Assistance
	*  cogito: Plan-based control of robotic agents
        )

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            [tenorth] => Moritz Tenorth
            [jain] => Anand Dominik Jain
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    [title] => Software and data sets
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            [abstract] => Open-source software packages

	*  ROS stacks and packages: Contributions of the IAS Group to the Robot Operating System (ROS)
	*  The ProbCog Toolbox for Statistical Relational Learning and Reasoning: ProbCog designs and implements a software suite for statistical relational learning that is publicly available for download.
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    [creator] => Dejan Pangercic
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            [isikm] => Mehmet Can Isik
            [moesenle] => Lorenz Mösenlechner
            [hausman] => Karol Hausman
            [blodow] => Nico Blodow
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    [title] => Internal IAS Workshop on Knowrob, CRAM and Semantic Perception
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            [abstract] => NOTE: The content is subject to frequent changes, please check back regularly.

Purpose

The purpose of this workshop is to introduce some of the core technologies developed in the IAS group over the last years for knowledge-enabled service robotics to our freshmen, colleagues from Bremen and guests.
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    [creator] => Moritz Tenorth
    [user] => tenorth
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            [id] => events:knowledge-workshop-iros2011
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            [extra] => 
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    [title] => IROS 2011 Workshop: Knowledge Representation for Autonomous Robots
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            [abstract] => Over the past years, computers have made significant progress in mining knowledge from the web, aggregating information from different sources and using this knowledge to answer complex queries. Watson's recent victory over human jeopardy players impressively shows that very complex tasks in terms of knowledge acquisition, question answering, and natural language understanding can be solved nowadays.
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    [creator] => Dejan Pangercic
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    [title] => ICRA 2012 Workshop on Semantic Perception and Mapping for Knowledge-enabled Service Robotics
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ICRA 2012 WORKSHOP 

Semantic Perception and Mapping for Knowledge-enabled Service Robotics (with interactive session and demonstrations) 

Where: 

ICRA 2012, St. Paul, Minnesota, USA (Room #9, River Centre) 

When: 

May 18th, 2012

Website: 


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            [abstract] => Summer schools and tutorials

	*  CoTeSys-ROS Fall School on Cognition Enabled Mobile Manipulation (November 2010)
	*  Player Summer School on Cognitive Robotics (August 2007)

Workshops

	*  Internal IAS Workshop on KnowRob, CRAM and Perception  (June 2012)
	*  ICRA 2012: Workshop on Semantic Perception and Mapping for Knowledge-enabled Service Robotics (May 2012)
	*  IROS 2011: Workshop on Knowledge Representation for Autonomous Robots (October 2011)
	*  euRobotics 2011: RGB-D Workshop on 3D P…
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Persönlicher Status und Werkzeuge

Home Research ASPOGAMO: Automated SPOrt Game Analysis MOdel

ASPOGAMO: Automated SPOrt Game Analysis MOdel

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.

Acknowledgements

This project is partly funded by the DFG under contract ASPOGAMO.

Publications

Journal Articles and Book Chapters

Importance Sampling as One Solution to the Data Association Problem in Multi-target Tracking (Nicolai v. Hoyningen-Huene, Michael Beetz), Chapter in VISIGRAPP 2009 (AlpeshKumar Ranchordas, Helder Araujo, eds.), Springer-Verlag Berlin Heidelberg, 2010. [bib]
ASpoGAMo: Automated Sports Game Analysis Models (Michael Beetz, Nicolai von Hoyningen-Huene, Bernhard Kirchlechner, Suat Gedikli, Francisco Siles, Murat Durus, Martin Lames), In International Journal of Computer Science in Sport, volume 8, 2009. [bib] [pdf]
Computerized Real-Time Analysis of Football Games (Michael Beetz, Bernhard Kirchlechner, Martin Lames), In IEEE Pervasive Computing, volume 4, 2005. [bib] [pdf]

Conference Papers

Rao-Blackwellized Resampling Particle Filter for Real-Time Player Tracking in Sports (Nicolai von Hoyningen-Huene, Michael Beetz), 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 (Nicolai von Hoyningen-Huene, Michael Beetz), In Ninth Asian Conference on Computer Vision (ACCV), 2009. [bib] [pdf]
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas (Andreas Andreakis, Nicolai von Hoyningen-Huene, Michael Beetz), 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 (Nicolai v. Hoyningen-Huene, Bernhard Kirchlechner, Michael Beetz), In Towards Affordance-based Robot Control, 2007. [bib] [pdf]
An Adaptive Vision System for Tracking Soccer Players from Variable Camera Settings (Suat Gedikli, Jan Bandouch, Nico von Hoyningen-Huene, Bernhard Kirchlechner, Michael Beetz), In Proceedings of the 5th International Conference on Computer Vision Systems (ICVS), 2007. [bib] [pdf]
Visually Tracking Football Games Based on TV Broadcasts (Michael Beetz, Suat Gedikli, Jan Bandouch, Bernhard Kirchlechner, Nico von Hoyningen-Huene, Alexander Perzylo), 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 (Michael Beetz, Jan Bandouch, Suat Gedikli, Nico von Hoyningen-Huene, Bernhard Kirchlechner, Alexis Maldonado), 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 (M. Beetz, F. Fischer, S. Flossmann, B. Kirchlechner, A. Unseld, C. Holzer), In 5th Annual Conference dvs-Section Computer Science in Sport, 2004. [bib]
Motion and Episode Models for (Simulated) Football Games: Acquisition, Representation, and Use (Michael Beetz, Sven Flossmann, Thomas Stammeier), In 3rd International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS), 2004. [bib] [pdf]

Workshop Papers

Interpretation and Processing of Position Data for the Empirical Study of the Behavior of Simulation League Robocup Teams (M. Beetz, B. Kirchlechner, F. Fischer), In KI 2004 Workshop, 2004. [bib] [pdf]

Other Publications

Real-time Tracking of Player Identities in Team Sports (Nicolai von Hoyningen-Huene), PhD thesis, Technische Universität München, 2011. [bib]
Continual and Robust Estimation of Camera Parameters in Broadcasted Sports Games (Suat Gedikli), PhD thesis, Technische Universität München, 2009. [bib]
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Last edited 23.08.2011 12:14 by kisler