Computer Science & Electrical

Computer Science & Electrical


Pages: 15  ,  Volume: 21  ,  Issue: 1 , January   2019
Received: 05 Feb 2019  ,  Published: 07 February 2019
Views: 16  ,  Download: 0


# Author Name
1 Amit Mishra


 Predictably the surveillance monitoring system is prepared in the Examination Hall and by a mount of labor or fixed invigilators. But nowadays, monitoring surveillance system can be done using ICT as a tool. This type of invigilation is less time consuming, can reduce the manpower, and can be made effective. Furthermore, it provides the user flexibility to monitor event during examination at hall. This project also deals with the movement in the video, this will be a greater help to the exam officer to observe occurrences. In the end, this project is not only to reduce the manpower but also give advantages of using Internet Protocol Surveillance Cordless System.


  • Technology
  • ICT
  • Exam Invigilation
  • crime monitor
  • IP Surveillance
  • References

    A. Senior, (2002) Tracking People with Probabilistic Appearance Models”, 3rd IEEE International             Workshop on Performance Evaluation of Tracking and Surveillance,          Copenhagen, pp48-55

    A.C. Davies, J.H. Yin, S.A. Velastin, (1995) “Crowd monitoring using image processing”, IEE    Electronics and Communication Engineering J., pp 37-47

    B.K.P. Horn, B.G. Schunck, (1981) “Determining Optical Flow”, Artificial Intelligence, pp.         185-203

    C. Stauffer, W.E.L. Grimson, (2000) “Learning Patterns of Activity using Real-Time Tracking”, IEEE             Transactions on Pattern Analysis and Machine Intelligence, pp747-757

    D. Makris, T.J. Ellis, (2005) “Learning Semantic Scene Models from Observing Activity in Visual             Surveillance” IEEE Transactions on Systems Man and Cybernetics - Part B,          (accepted for publication in)

    E. Wallace et al, (1997) “Good Practice for the Management and Operation of Town Centre         CCTV”, European Conf. on Security and Detection, pp36-41 (IEE Conf.      Pub.     437)

    G. Foresti, C. Micheloni, L. Snidaro, P. Ramagnino, T Ellis, (2005) “Active Video-based Surveillance             System”, IEEE Signal Processing Magazine, pp25-37

    H. Tao, H.S. Sawhney, R. Kumar, (2000) “Dynamic Layer Representation and its Applications to             Tracking”, IEEE Conference on Computer Vision and Pattern Recognition, pp134-           141

    I. Haritaoglu, D. Harwood, L.S. Davis, (2000) “Real-time Surveillance of people and their           Activities",             IEEE Transactions on Pattern Analysis and Machine Intelligence,   22, 8, pp809-830

    J. H. Yin: “Automation of crowd data-acquisition and monitoring in confined areas using image processing,” Ph.D. Thesis, King’s College London, University of London,          September 1996.

    M. Frith, (2004) “Big Brother Britain,”The Independent,

    S.A. Velastin, B. Boghossian, B. Lo, J. Sun, M.A. Vicencio-Silva, (2005) “PRISMATICA:          Toward Ambient Intelligence In Public Transport Environments”, IEEE      Transactions on Systems Man and Cybernetics, pp164-182

    S. A. Velastin, J. H. Yin, A. C. Davies, M. A. VicencioSilva, R. E. Allsop A. Penn, (1994)           “Automated             measurement of crowd density and motion using image       processing,”    7th Int. Conf. on Road Traffic Monitoring and Control, London,         UK, pp. 127-132.