Detecting Critical Situation in Public Transport

R. M. Luque, F. L. Valverde, E. Dominguez, E. J. Palomo, J. Muñoz

2008

Abstract

This paper presents a system information applied to video surveillance to detect and identify aggressive behaviors of people in public transport. A competitive neural network is proposed to form a background model for detecting objects in motion in the sequence. After identifying the objects and extracting its features a set of rules are applied to decide if an anomalous behavior is or not considered aggressive. Our approach is integrated in a CCTV system and is a powerful support tool for security operators to manage to detect in real time critical situations in public transport.

References

  1. Hu, W., Tan, T., Wang, L., Maybank, S.: A survey on visual surveillance of object motion and behaviors. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 34 (2004) 334-352
  2. Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. Acm Computing Surveys 38 (2006) 13-58
  3. Fuentes, L., Velastin, S.: Tracking people for automatic surveillance applications. Pattern Recognition and Image Analysis, Proceedings 2652 (2003) 238-245
  4. Haritaoglu, I., Harwood, D., Davis, L.: W4: real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000) 809-830
  5. Hertz, J.: Introduction to the theory of neural computation. Addison-Wesley (1995)
  6. Piccardi, M.: Background subtraction techniques: a review. In: IEEE International Conference on Systems, Man and Cybernetics. (2004) 3099-3104
  7. Radke, R., Andra, S., Al-Kofahi, O., Roysam, B.: Image change detection algorithms: a systematic survey. IEEE Transactions on Image Processing 14 (2005) 294-307
  8. Lo, B., Velastin, S.: Automatic congestion detection system for underground platforms. In: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001. (2001) 158-161
  9. Stauffer, C., Grimson, W.: Learning patterns of activity using real-time tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000) 747-757
  10. Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.: Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. In: Conference on Computer Vision and Pattern Recognition. (2002) 1151-1163
  11. Mikic, I., Cosman, P., Kogut, G., Trivedi, M.: Moving shadow and object detection in traffic scenes. In: International Conference on Pattern Recognition. (2000)
  12. Prati, A., Mikic, I., Trivedi, M., Cucchiara, R.: Detecting moving shadows: Algorithms and evaluation. IEEE Trans. on Pattern Analysis and Machine Intelligence 25 (2003) 918-923
  13. Horprasert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow detection. In: Proceedings of IEEE ICCV'99 FRAME-RATE Workshop. (1999)
  14. Park, S., Aggarwal, J.: Segmentation and tracking of interacting human body parts under occlusion and shadowing. In: Workshop on Motion and Video Computing. (2002) 105-111
  15. Ju, S., Black, M., Yacoob, Y.: Cardboard people: a parameterized model of articulated image motion. In: Proceedings of the Second International Conference on Automatic Face and Gesture Recognition. (1996) 38-44
  16. Barber, C., Dobkin, D., Huhdanpaa, H.: The quickhull algorithm for convex hulls. ACM Transactions on Mathematical Software (TOMS) 22 (1996) 469-483
Download


Paper Citation


in Harvard Style

M. Luque R., L. Valverde F., Dominguez E., J. Palomo E. and Muñoz J. (2008). Detecting Critical Situation in Public Transport . In Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2008) ISBN 978-989-8111-42-5, pages 57-66. DOI: 10.5220/0001739600570066


in Bibtex Style

@conference{pris08,
author={R. M. Luque and F. L. Valverde and E. Dominguez and E. J. Palomo and J. Muñoz},
title={Detecting Critical Situation in Public Transport},
booktitle={Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2008)},
year={2008},
pages={57-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001739600570066},
isbn={978-989-8111-42-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2008)
TI - Detecting Critical Situation in Public Transport
SN - 978-989-8111-42-5
AU - M. Luque R.
AU - L. Valverde F.
AU - Dominguez E.
AU - J. Palomo E.
AU - Muñoz J.
PY - 2008
SP - 57
EP - 66
DO - 10.5220/0001739600570066