Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


Preferences help
enabled [disable] Abstract
Number of results
2012 | 4 | 3 | 172-179

Article title

Application of the as-4 software in research on players’ kinematics on a large area in 3d coordinates as an alternative to commercial programs

Content

Title variants

Languages of publication

EN

Abstracts

EN
Background: In this work an original computer program for the video analysis of players on a large area by using a single camera is presented. Video analysis is one of the basic research techniques of human movement applied in sport. A set of cameras and special computer software is used for this purpose. Many companies provide hardware and software, but, unfortunately, their high cost and difficulty in usage are their major drawbacks. In order to simplify and reduce the costs of data analysis (obtained from a single camera), AS-4 program was developed.Material/Methods: The program includes an original algorithm which enables positioning of the camera in any place. Specifying dimensions of the playing field and an object, the program automatically calculates a scale and transfers the data to the 3D matrix. Then, using flat transformation, 3D coordinates can be determined.Results: The algorithm was tested in the field. The accuracy of determining coordinates was studied in 3 areas and errors of the method were within an acceptable range.Conclusions: With the present program, it was possible to determine the kinematic parameters at any time during the movement. The accuracy of the program was sufficient to determine the 3D position. It can be used to determine the movement path over a large area and then to calculate velocity and acceleration

Publisher

Year

Volume

4

Issue

3

Pages

172-179

Physical description

Dates

published
1 - 10 - 2012
received
accepted
online
29 - 10 - 2012

Contributors

  • Gdansk University of Physical Education and Sport in Gdansk, Poland
  • Gdansk University of Physical Education and Sport in Gdansk, Poland
  • Gdansk University of Physical Education and Sport in Gdansk, Poland

References

  • 1. Official Website of the Vicon [accessed in March 2012] available at http://www.vicon.com/applications/sports.html
  • 2. Official Website of the Ariel Dynamics [accessed in March 2012] available at http://www.arielnet.com
  • 3. Official Website of the Peak performance [accessed in March 2012] available at http://www.peakperformance systems.com/
  • 4. Official Website of the Motionprosoftware [accessed in February 2012] available at http://www.motionprosoftware.com/index.htm
  • 5. Official Website of the Elite systems [accessed in March 2012] available at http://www.attechnologysolutions.com/sports-solutions/
  • 6. Official Website of the Simi [accessed in February 2012] available at http://www.simi.com/en/
  • 7. Official Website of the Prozone® [accessed in February 2012] available at www.prozonesports.com
  • 8. Official Website of the Amisco Pro [accessed in March 2012] available at http://www.sport-universal.com/
  • 9. Kuzora P. Computer aided game evaluation (CAGE). Gdansk: Kuzora Publisher; 1996.
  • 10. Kuzora P, Erdmann WS. Computer program for research of team games. In: Erdmann WS, editor. Locomotion’98. Proceedings. Gdansk; 1998, 163-168.
  • 11. Figueroa PJ, Leite NJ, Barros RML, Cohen I, Medioni G. Tracking soccer players using the graph representation. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR). Vol. IV. Cambridge-UK; 2004; 787-790.
  • 12. Figueroa PJ, Leite NJ, Barros RML. Tracking soccer players aiming their kinematical motion analysis. Computer Vision and Image Understanding 2006;101,2:122-135.
  • 13. Figueroa PJ, Leite NJ, Barros RML. Background recovering in outdoor image sequences: An example of soccer players segmentation. Image and Vision Computing 2006;24(4):363-374.
  • 14. Barros RML, Misuta, MS, Menezes RP, et al. Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method. J Sport Sci Med 2007;6:233-242.
  • 15. Hermoso VMS. Photogrammetric system for movement analysis in team sports. In: Proceedings of InternationalSymposium on Biomechanics in Sport. Caceres-Extremadura - Spain; 2002, 341-343.
  • 16. Vandenbroucke N, Macaire L, Postaire JG. Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation. In: Proceedings 2000 International Conference on Image Processing. IEEE Signal Processing Society; 2000, 800-803.
  • 17. Vandenbroucke N, Macaire L, Postaire JG. Color image segmentation by pixel classification in an adapted hybrid color space. Application to soccer image analysis. Computer Vision and Image Understanding 2003;90(2):190-216.
  • 18. Iwase S, Saito H. Parallel tracking of all soccer players by integrating detected positions in multiple view images. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR). Vol. IV. Cambridge-UK; 2004, 751-754.
  • 19. Shiokawa M, Takahashi K, Kan A, Usui KOS, Choi CS, Deguchi T. Computer analysis of a soccer game by the DLT method focusing on the movement of the players and the ball. In: Book of Abstract. V WorldCongress of Science and Football. Lisbon-Portugal; 2003, 267.
  • 20. Toki S, Sakurai S. Quantitative match analysis of soccer games with two dimensional DLT procedures. In: XXth Congress of International Society of Biomechanics. Cleveland-USA; 2005, 911.
  • 21. Di Salvo V, Baron R, Tschan H, Calderon Montero FJ, Bachl N, Pigozzi F. Performance Characteristics According to Playing Position in Elite Soccer. Int J Sport Med 2007;28(3):222-227.[WoS][Crossref]
  • 22. Di Salvo V, Collins A, Mc Neill B, Cardinale M. Validation of Prozone®. A new video-based performance analysis system. International Journal of Performance Analysis in Sport 2006;6(1):108-119.
  • 23. Zydler J. Geometria [in Polish] [Geometry]. Warszawa: Prószyński i S-ka; 1997.
  • 24. Ryan N, Heneghan C, Chazal P. Registration of digital retinal images using landmark correspondence by expectation maximization. Image and Vision Computing 2004;22(11):883-898.
  • 25. Official Website of Canon Poland [accessed in April 2012] available at: http://www.canon.pl/For_Home/Product_Finder/Camcorders/professional/XL_H1S/
  • 26. Holzer C, Hartmann U, Beetz M, von der Grun T. Match analysis by transmitter position measurement. In: Book of Abstract. V World Congress of Science and Football. Lisbon-Portugal; 2003, 152.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.-psjd-doi-10_2478_v10131-012-0018-8
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.