PRE-FIGHT DETECTION - Classification of Fighting Situations using Hierarchical AdaBoost

Scott J. Blunsden, Robert B. Fisher

Abstract

This paper investigates the detection and classification of fighting and pre and post fighting events when viewed from a video camera. Specifically we investigate normal, pre, post and actual fighting sequences and classify them. A hierarchical AdaBoost classifier is described and results using this approach are presented. We show it is possible to classify pre-fighting situations using such an approach and demonstrate how it can be used in the general case of continuous sequences.

References

  1. Blunsden, S., Andrade, E., Laghaee, A., and Fisher, R. (2007). Behave interactions test case scenarios, epsrc project gr/s98146, http://groups.inf.ed.ac.uk/vision/behavedata/interactions/index.html. On Line.
  2. Cupillard, F., Bremond, F., and Thonnat, M. (2002). Group behavior recognition with multiple cameras. In Sixth IEEE Workshop on Applications of Computer Vision (WACV).
  3. Datta, A., Shah, M., and Lobo, N. D. V. (2002). Person-onperson violence detection in video data. In Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1, page 10433. IEEE Computer Society.
  4. Davis, J. W. and Bobick, A. F. (2001). The representation and recognition of action using temporal templates. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 23, pages 257-267. IEEE Computer Society.
  5. Dee, H. and Hogg, D. C. (2004). Is it interesting? comparing human and machine judgements on the pets dataset. Sixth International Workshop on Performance Evaluation of Tracking And Surveillance, 33(1):49- 55.
  6. Dollar, P., Rabaud, V., Cottrell, G., and Belongie, S. (2005). Behavior recognition via sparse spatio-temporal features. In PETS, pages 65-72, China.
  7. Duda, R., Hart, P. E., and Stork, G. D. (2000). Pattern Classification, Second Edition. Wiley Interscience, University of Texas at Austin, Austin, USA.
  8. Efros, A., Berg, A., Mori, G., and Malik, J. (2003). Recognising action at a distance. In In 9th International Conference on Computer Vision, volume 2, pages 726-733.
  9. Freund, Y. and Schapire, R. E. (1996). Game theory, on-line prediction and boosting. In Ninth Annual Conference on Computational Learning Theory, pages 325-332.
  10. Niebles, J. C., Wang, H., and FeiFei, L. (2006). Unsupervised learning of human action categories using spatial-temporal words. In British Machine Vision Conference, Edinburgh.
  11. project/IST 2001 37540, E. F. C. (2004). found at url: http://homepages.inf.ed.ac.uk/rbf/caviar/.
  12. Ribeiro, P. and Santos-Victor, J. (2005). Human activities recognition from video: modeling, feature selection and classification architecture. In Workshop on Human Activity Recognition and Modelling (HAREM 2005 - in conjunction with BMVC 2005), pages 61-70, Oxford.
  13. Troscianko, T., Holmes, A., Stillman, J., Mirmehdi, M., and Wright, D. (2004). What happens next? the predictability of natural behaviour viewed through cctv cameras. Perception, 33(1):87-101.
  14. Zhu, J., Rosset, S., Zhou, H., and Hastie, T. (2006). Multiclass adaboost. Technical report, University of Michigan, Ann Arbor.
Download


Paper Citation


in Harvard Style

J. Blunsden S. and B. Fisher R. (2009). PRE-FIGHT DETECTION - Classification of Fighting Situations using Hierarchical AdaBoost . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 303-308. DOI: 10.5220/0001775903030308


in Bibtex Style

@conference{visapp09,
author={Scott J. Blunsden and Robert B. Fisher},
title={PRE-FIGHT DETECTION - Classification of Fighting Situations using Hierarchical AdaBoost},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={303-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001775903030308},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - PRE-FIGHT DETECTION - Classification of Fighting Situations using Hierarchical AdaBoost
SN - 978-989-8111-69-2
AU - J. Blunsden S.
AU - B. Fisher R.
PY - 2009
SP - 303
EP - 308
DO - 10.5220/0001775903030308