Abstract
Every year, we find a lot of people committing suicide in metro. To avoid such incidents, we have designed a system that would take the captured video of preinstalled CCTV cameras in metro stations and analyze them. On breaking down the captured video into frames, the region of interest for each will be calculated and their histogram found. Processing the histogram values, if danger is detected then an alert message will be fired. In future with this triggering of the message a physical barrier, installed beforehand at the edge of the platform, will come up thereby preventing the victim from making the suicide attempt, saving his/her life and hours of harassment for others.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
U.B. Roychowdhury, M. Pal, B. Sukul: Suicides in Kolkata metro railway. In: Journal of Indian Academy of Forensic Medicine, 2009. vol.: 31, Issue: 2, pp. 118–121.
Hua Zhong: Detecting Unusual Activity in Video. In: Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference, Page(s):II-819 - II-826 Vol.2, DOI:10.1109/CVPR.2004.1315249.
Young-Bin Shim, Hwa-Jin Park, Yong-Ik Yoon.: A Study on Surveillance System of Object’s Abnormal Behavior by Blob Composition Analysis. In: International Journal of Security and Its Applications Vol.8, No.2 (2014), pp. 333–340.
Mikel Rodriguez, Ivan Laptev, Josef Sivic, Jean-Yves Audibert.: Density-aware person detection and tracking in crowds by Blob Composition Analysis. In: 2011 International Conference on Computer Vision, pp. 2423–2430, DOI:10.1109/ICCV.2011.6126526.
Mehmet Ali Dağlı, ÇiğdemEroğluErdem: Auto-detection of unusual events in metro stations via security cameras. In: Signal Processing and Communications Applications Conference (SIU), 2013 21st, pp. 1–4,DOI:10.1109/SIU.2013.6531414.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mukherjee, A., Ghosh, B. (2017). An Automated Approach to Prevent Suicide in Metro Stations. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_75
Download citation
DOI: https://doi.org/10.1007/978-981-10-3153-3_75
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3152-6
Online ISBN: 978-981-10-3153-3
eBook Packages: EngineeringEngineering (R0)