Abnormal Behaviour Detection on Live Streaming

  Yogesh V Patil,  Omkar A Salvi,  Vijayalaxmi P. Kadroli,  Paresh R. Waghmare.,  Akshay D. Kondilkar

Over recent years, surveillance camera is magnetizing attention due to its wide range of applications in suspicious activity detection. Current surveillance system fixates on analyzing past incidents. As this is a confidential matter, cro magnon man decisions are subject to priority, too facilitating constrained coherent intervention of cave dweller resource. This context detects spin of the roulette wheel in the that a way under surveillance. One a well known perilous dilemma is implemented, gat a charge out of a person mutually a knife. Here the presage is that in the firm places like ATM, Banks, Offices etc. a person possessing knife is unorthodox and liable to cause deleterious activities like threatening, injuring and stabbing. The check out demonstrates the efficacy of the campaign on discipline dataset amassed from diversified environments.An interface is blown up to notify confused authority that boosts reliability and everywhere accuracy.

Keywords- : Abnormal behaviour,Surveillance system, Detection,Machine learning

Unique Identification Number - IJEDR1702006
Page Number(s) - 47-50
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Yogesh V Patil,  Omkar A Salvi,  Vijayalaxmi P. Kadroli,  Paresh R. Waghmare.,  Akshay D. Kondilkar,   "Abnormal Behaviour Detection on Live Streaming", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.47-50, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702006.pdf