Hypotheses based multi-object tracking in the RoboCup MidSize league

R.J.M. Janssen; M.J.G. Molengraft, van de; M. Steinbuch

Hypotheses based multi-object tracking in the RoboCup MidSize league

R.J.M. Janssen, M.J.G. Molengraft, van de, M. Steinbuch

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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One of the main challenges in the RoboCupMidSize league is to create a global view, or world model, of peer and opponent players in the game environment. This view is essential for strategic gameplay and global path planning. In this paper the team of TechUnited Eindhoven describes their solution to this issue. Ego and omnivision object measurements are shared amongst peer players. Each peer individually processes the measurements according to an hypotheses based sequential clustering algorithm. For each cluster Kalman observers are initiated from which an estimated position and velocity can be derived. This paper describes the first world model design known in the MidSize league that includes dynamics and labeling of peer and opponent players.

Originele taal-2	Engels
Titel	Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada
Redacteuren	U. Visser, S. Asadi, T. Laue, M. Mayer
Status	Gepubliceerd - 2010
Evenement	9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada - Sheraton Centre Toronto Hotel, Toronto, Canada Duur: 10 mei 2010 → 14 mei 2010 http://www.cse.yorku.ca/AAMAS2010/

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Congres	9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada
Verkorte titel	AAMAS 2010
Land/Regio	Canada
Stad	Toronto
Periode	10/05/10 → 14/05/10
Ander	Internal Conference on Autonomous Agents And MultiAgent Systems
Internet adres	http://www.cse.yorku.ca/AAMAS2010/

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Janssen, R. J. M., Molengraft, van de, M. J. G., & Steinbuch, M. (2010). Hypotheses based multi-object tracking in the RoboCup MidSize league. In U. Visser, S. Asadi, T. Laue, & M. Mayer (editors), Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada

Janssen, R.J.M. ; Molengraft, van de, M.J.G. ; Steinbuch, M. / Hypotheses based multi-object tracking in the RoboCup MidSize league. Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada. redacteur / U. Visser ; S. Asadi ; T. Laue ; M. Mayer. 2010.

@inproceedings{10bf91d9263c4621a61d5a0188886f1b,

title = "Hypotheses based multi-object tracking in the RoboCup MidSize league",

abstract = "One of the main challenges in the RoboCupMidSize league is to create a global view, or world model, of peer and opponent players in the game environment. This view is essential for strategic gameplay and global path planning. In this paper the team of TechUnited Eindhoven describes their solution to this issue. Ego and omnivision object measurements are shared amongst peer players. Each peer individually processes the measurements according to an hypotheses based sequential clustering algorithm. For each cluster Kalman observers are initiated from which an estimated position and velocity can be derived. This paper describes the first world model design known in the MidSize league that includes dynamics and labeling of peer and opponent players.",

author = "R.J.M. Janssen and {Molengraft, van de}, M.J.G. and M. Steinbuch",

year = "2010",

language = "English",

editor = "U. Visser and S. Asadi and T. Laue and M. Mayer",

booktitle = "Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada",

note = "9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada, AAMAS 2010 ; Conference date: 10-05-2010 Through 14-05-2010",

url = "http://www.cse.yorku.ca/AAMAS2010/",

}

Janssen, RJM, Molengraft, van de, MJG & Steinbuch, M 2010, Hypotheses based multi-object tracking in the RoboCup MidSize league. in U Visser, S Asadi, T Laue & M Mayer (uitgave), Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada. 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada, Toronto, Canada, 10/05/10.

Hypotheses based multi-object tracking in the RoboCup MidSize league. / Janssen, R.J.M.; Molengraft, van de, M.J.G.; Steinbuch, M.
Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada. uitgave / U. Visser; S. Asadi; T. Laue; M. Mayer. 2010.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Hypotheses based multi-object tracking in the RoboCup MidSize league

AU - Janssen, R.J.M.

AU - Molengraft, van de, M.J.G.

AU - Steinbuch, M.

PY - 2010

Y1 - 2010

N2 - One of the main challenges in the RoboCupMidSize league is to create a global view, or world model, of peer and opponent players in the game environment. This view is essential for strategic gameplay and global path planning. In this paper the team of TechUnited Eindhoven describes their solution to this issue. Ego and omnivision object measurements are shared amongst peer players. Each peer individually processes the measurements according to an hypotheses based sequential clustering algorithm. For each cluster Kalman observers are initiated from which an estimated position and velocity can be derived. This paper describes the first world model design known in the MidSize league that includes dynamics and labeling of peer and opponent players.

AB - One of the main challenges in the RoboCupMidSize league is to create a global view, or world model, of peer and opponent players in the game environment. This view is essential for strategic gameplay and global path planning. In this paper the team of TechUnited Eindhoven describes their solution to this issue. Ego and omnivision object measurements are shared amongst peer players. Each peer individually processes the measurements according to an hypotheses based sequential clustering algorithm. For each cluster Kalman observers are initiated from which an estimated position and velocity can be derived. This paper describes the first world model design known in the MidSize league that includes dynamics and labeling of peer and opponent players.

M3 - Conference contribution

BT - Proceedings of the Internal Conference on Autonomous Agents And MultiAgent Systems (AAMAS2010) : Workshop on Agents in Real-time and Dynamic Environments, May 10-14, 2010, Toronto, Canada

A2 - Visser, U.

A2 - Asadi, S.

A2 - Laue, T.

A2 - Mayer, M.

T2 - 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada

Y2 - 10 May 2010 through 14 May 2010

ER -

Hypotheses based multi-object tracking in the RoboCup MidSize league

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