Detection of Soccer Game Offence/Defence Events in Broadcast Video
 |
International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2017 by IJETT Journal | ||
| Volume-43 Number-7 |
||
| Year of Publication : 2017 | ||
| Authors : AbuzarBabikir |
||
| DOI : 10.14445/22315381/IJETT-V43P268 |
Citation
AbuzarBabikir " Detection of Soccer Game Offence/Defence Events in Broadcast Video", International Journal of Engineering Trends and Technology (IJETT), V43(7),401-403 January 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
In this paper, basic offense and defense events of soccer game have been undertaken due its significance for the fans in one side, game analysts and team coaches on other side. Offense and defense strategies and capabilities are the most important events in the soccer game because they determine the ability of controlling the play, penetration and even scoring. A straight forward and simple method has been adopted here to perform the detection process.
References
[1] U. Rao, U. C.pati, A Novel Algorithm for Detection of Soccer Ball Player, IEEE ICCSP 2015.
[2] M. Takahashi, Y. Yamanouch, T. Nakamura, Real-time Ball Measurement For Football Games Based on Ball’s Appearance and Motion Features, 11th International Conference on Signal –Image Technology & Internet-Based system, IEEE 2015.
[3] M. Hosseini, A. Mughadam, Fuzzy rule-based reasoning approach for event detection and annotation of broadcast soccer video, Applied Soft Computing 13 (2013) 846–866, Elsevier 2013.
[4] C. Pei, S. Yang, L. Gao, W. Ma, A Real Time Detection Framework ForSoccer Video, 978-1-4244-4530-1/09, IEEE 2009.
[5] S. Patil, Kiran Talele, Suspicious Movement Detection an Tracking based on Color Histogram, 2015 International Conference on Communication, Information 7 Computing Technology (ICCICT), Jan 16-17, Mumbai, India, IEEE 2015.
[6] Jingjing Xiao, MouradOussalah, Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusion, IEEE transactions on circuits and systems for video technology vol. 26, no. 2, February 2016,10.1109/TCSVT.2015.2406193.
[7] S. Chen, Z. Feng, Q. Lu, B. Mahasseni, T. Fiez, A. Fern, S. Todorovic, Oregon State University, Play Type in Real-World Football Video.
[8] Yu X., Xu C., Leong H. W., Tang Q., and Wan K. W., Trajectory-Based Ball Detection and Tracking with Applications to Semantic Analysis of Broadcast Soccer Video, In Proceedings of ACM Conference on Multimedia-2003.
Keywords
Offense, Defense, soccer, event.