The goalkeeper strategy of robocup MSL based on dual image source

Xueyan Wang; Peng Zhao; Shiyu Mou; Di Zhu; Jieming Zhou; Dongbiao Sun; Song Chen; Zhe Zhu; Ye Tian; Zongyi Zhang; Lv Ye; Xinxin Xu; Wanjie Zhang; Kang Wu; Binbin Li; Yuan Li; Abudouyimujiang Kader; Yiheng Su; Chenyu Wang

doi:10.1007/978-3-319-29339-4_14

The goalkeeper strategy of robocup MSL based on dual image source

Xueyan Wang^*, Peng Zhao, Shiyu Mou, Di Zhu, Jieming Zhou, Dongbiao Sun, Song Chen, Zhe Zhu, Ye Tian, Zongyi Zhang, Lv Ye, Xinxin Xu, Wanjie Zhang, Kang Wu, Binbin Li, Yuan Li, Abudouyimujiang Kader, Yiheng Su, Chenyu Wang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Gatekeeping is one of the most important tasks in MSL, especially defending aerial shots. This paper proposes a goalkeeper strategy based on combining two image sources. The goalkeeper uses the Omni-vision system to adjust heading orientation of the Kinect sensor for capturing both depth and RGB images of the ball. The depth information is used to detect the spatial position of the ball and the RGB image ensures the validity of the recognition. Once opponents shoot, the proposed system uses the first few detected positions of the ball to predict the interception point by the goalkeeper based on the least square method. The accuracy and effectiveness of the proposed strategy are verified by experimentation.

Original language	English
Title of host publication	RoboCup 2015
Subtitle of host publication	Robot World Cup XIX
Editors	Jianmin Ji, Luis Almeida, Sean Luke, Gerald Steinbauer
Publisher	Springer Verlag
Pages	165-174
Number of pages	10
ISBN (Print)	9783319293387
DOIs	https://doi.org/10.1007/978-3-319-29339-4_14
Publication status	Published - 2015
Event	19th Annual RoboCup International Symposium, 2015 - Hefei, China Duration: 23 Jul 2015 → 23 Jul 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9513
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th Annual RoboCup International Symposium, 2015
Country/Territory	China
City	Hefei
Period	23/07/15 → 23/07/15

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10.1007/978-3-319-29339-4_14

Cite this

Wang, X., Zhao, P., Mou, S., Zhu, D., Zhou, J., Sun, D., Chen, S., Zhu, Z., Tian, Y., Zhang, Z., Ye, L., Xu, X., Zhang, W., Wu, K., Li, B., Li, Y., Kader, A., Su, Y., & Wang, C. (2015). The goalkeeper strategy of robocup MSL based on dual image source. In J. Ji, L. Almeida, S. Luke, & G. Steinbauer (Eds.), RoboCup 2015: Robot World Cup XIX (pp. 165-174). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9513). Springer Verlag. https://doi.org/10.1007/978-3-319-29339-4_14

Wang, Xueyan ; Zhao, Peng ; Mou, Shiyu et al. / The goalkeeper strategy of robocup MSL based on dual image source. RoboCup 2015: Robot World Cup XIX. editor / Jianmin Ji ; Luis Almeida ; Sean Luke ; Gerald Steinbauer. Springer Verlag, 2015. pp. 165-174 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1c5a3eee93134a5a8ef3ccdde1f3e340,

title = "The goalkeeper strategy of robocup MSL based on dual image source",

abstract = "Gatekeeping is one of the most important tasks in MSL, especially defending aerial shots. This paper proposes a goalkeeper strategy based on combining two image sources. The goalkeeper uses the Omni-vision system to adjust heading orientation of the Kinect sensor for capturing both depth and RGB images of the ball. The depth information is used to detect the spatial position of the ball and the RGB image ensures the validity of the recognition. Once opponents shoot, the proposed system uses the first few detected positions of the ball to predict the interception point by the goalkeeper based on the least square method. The accuracy and effectiveness of the proposed strategy are verified by experimentation.",

keywords = "Defensive position, Depth camera, Dual image source, Goalkeeper strategy, Kinect sensor, RGB camera",

author = "Xueyan Wang and Peng Zhao and Shiyu Mou and Di Zhu and Jieming Zhou and Dongbiao Sun and Song Chen and Zhe Zhu and Ye Tian and Zongyi Zhang and Lv Ye and Xinxin Xu and Wanjie Zhang and Kang Wu and Binbin Li and Yuan Li and Abudouyimujiang Kader and Yiheng Su and Chenyu Wang",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 19th Annual RoboCup International Symposium, 2015 ; Conference date: 23-07-2015 Through 23-07-2015",

year = "2015",

doi = "10.1007/978-3-319-29339-4_14",

language = "English",

isbn = "9783319293387",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "165--174",

editor = "Jianmin Ji and Luis Almeida and Sean Luke and Gerald Steinbauer",

booktitle = "RoboCup 2015",

address = "Germany",

}

Wang, X, Zhao, P, Mou, S, Zhu, D, Zhou, J, Sun, D, Chen, S, Zhu, Z, Tian, Y, Zhang, Z, Ye, L, Xu, X, Zhang, W, Wu, K, Li, B, Li, Y, Kader, A, Su, Y & Wang, C 2015, The goalkeeper strategy of robocup MSL based on dual image source. in J Ji, L Almeida, S Luke & G Steinbauer (eds), RoboCup 2015: Robot World Cup XIX. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9513, Springer Verlag, pp. 165-174, 19th Annual RoboCup International Symposium, 2015, Hefei, China, 23/07/15. https://doi.org/10.1007/978-3-319-29339-4_14

The goalkeeper strategy of robocup MSL based on dual image source. / Wang, Xueyan; Zhao, Peng; Mou, Shiyu et al.
RoboCup 2015: Robot World Cup XIX. ed. / Jianmin Ji; Luis Almeida; Sean Luke; Gerald Steinbauer. Springer Verlag, 2015. p. 165-174 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9513).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The goalkeeper strategy of robocup MSL based on dual image source

AU - Wang, Xueyan

AU - Zhao, Peng

AU - Mou, Shiyu

AU - Zhu, Di

AU - Zhou, Jieming

AU - Sun, Dongbiao

AU - Chen, Song

AU - Zhu, Zhe

AU - Tian, Ye

AU - Zhang, Zongyi

AU - Ye, Lv

AU - Xu, Xinxin

AU - Zhang, Wanjie

AU - Wu, Kang

AU - Li, Binbin

AU - Li, Yuan

AU - Kader, Abudouyimujiang

AU - Su, Yiheng

AU - Wang, Chenyu

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Gatekeeping is one of the most important tasks in MSL, especially defending aerial shots. This paper proposes a goalkeeper strategy based on combining two image sources. The goalkeeper uses the Omni-vision system to adjust heading orientation of the Kinect sensor for capturing both depth and RGB images of the ball. The depth information is used to detect the spatial position of the ball and the RGB image ensures the validity of the recognition. Once opponents shoot, the proposed system uses the first few detected positions of the ball to predict the interception point by the goalkeeper based on the least square method. The accuracy and effectiveness of the proposed strategy are verified by experimentation.

AB - Gatekeeping is one of the most important tasks in MSL, especially defending aerial shots. This paper proposes a goalkeeper strategy based on combining two image sources. The goalkeeper uses the Omni-vision system to adjust heading orientation of the Kinect sensor for capturing both depth and RGB images of the ball. The depth information is used to detect the spatial position of the ball and the RGB image ensures the validity of the recognition. Once opponents shoot, the proposed system uses the first few detected positions of the ball to predict the interception point by the goalkeeper based on the least square method. The accuracy and effectiveness of the proposed strategy are verified by experimentation.

KW - Defensive position

KW - Depth camera

KW - Dual image source

KW - Goalkeeper strategy

KW - Kinect sensor

KW - RGB camera

UR - http://www.scopus.com/inward/record.url?scp=84958043686&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-29339-4_14

DO - 10.1007/978-3-319-29339-4_14

M3 - Conference contribution

SN - 9783319293387

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 165

EP - 174

BT - RoboCup 2015

A2 - Ji, Jianmin

A2 - Almeida, Luis

A2 - Luke, Sean

A2 - Steinbauer, Gerald

PB - Springer Verlag

T2 - 19th Annual RoboCup International Symposium, 2015

Y2 - 23 July 2015 through 23 July 2015

ER -

Wang X, Zhao P, Mou S, Zhu D, Zhou J, Sun D et al. The goalkeeper strategy of robocup MSL based on dual image source. In Ji J, Almeida L, Luke S, Steinbauer G, editors, RoboCup 2015: Robot World Cup XIX. Springer Verlag. 2015. p. 165-174. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-29339-4_14

The goalkeeper strategy of robocup MSL based on dual image source

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