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Web Cam Motion Detection Surveillance System Using Temporal Difference and Optical Flow Detection with Multi Alerts

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 147))

Abstract

This paper proposes a method for detecting the motion of a particular object being observed. The Motion tracking Surveillance has gained a lot of interests over past few years. The Motion tracking surveillance system is brought into effect providing relief to the Normal video surveillance system which offers time-consuming reviewing process. Through the study and Evaluation of products and methods, we propose a Motion Tracking Surveillance system consisting of its method for motion detection and its own Graphic User Interface. Various methods are used in Motion detection of a particular interest. Each algorithm is found efficient in one way. But there exits some limitation in each of them. In our proposed system those disadvantages are omitted and combining the usage of best method we are creating a new motion detection algorithm for our proposed Motion Tracking Surveillance system. The proposed system in this paper does not have its effect usage in office alone. It also offers more convenient, effective and efficient usage in home.

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References

  1. Stefan Gachter, “Motion Detection as an Application for the Omnidirectional Camera”, Research Reports of CMP, Czech Technical University in Prague, Omnidirectional Visual System (7) , 5-13 (2001); FPS RTD – FET, Project No: IST-1999-29017

    Google Scholar 

  2. About Active Web Cam, http://www.pysoft.com/ActiveWebCamMainpage.htm

  3. Digi-Watcher Features of our webcam software for video surveillance, http://www.digi-watcher.com/surveillance_features.htm

  4. http://www.fgeng.com-vsmfeatures.htm

  5. SupervisionCam Homepage English, http://www.supervisioncam.com/

  6. Abdelkader, M.F., Chellappa, R., Zheng, Q.: Integrated Motion Detection and Tracking for Visual Surveillance. In: Proc. Of the Fourth IEEE International Conference on Vision Systems (ICVS 2006), pp. 1–3 (2006)

    Google Scholar 

  7. Miezianko, R.: Motion Detection and Object Tracking in Grayscale Videos Based on Spatio Temporal Texture Changes. In: Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy. Temple University Graduate Board, pp. 8–14 (2006)

    Google Scholar 

  8. Sheikh, Y., Shah, M.: Bayesian Modeling of Dynamic Scenes for Object Detection. IEEE Transaction on Pattern Analysis and Machine Intelligence 27(11), 1778–1780 (2005)

    Article  Google Scholar 

  9. Rivo, J.-E.S., Cajote, E.R.: Object Motion Detection Using Optical Flow. In: Digital Signal Processing Laboratory, Department of Electrical and Electronics Laboratory, University of the Philippines, pp. 1–2

    Google Scholar 

  10. Sarker, M.H., Bechkoum, K., Islam, K.K.: Optical Flow for Large Motion Using Gradient Technique. Serbian Journal of Electrical Engineering 3(1), 103–113 (2006)

    Article  Google Scholar 

  11. Ma, Y.-F., Zhang, H.-J.: Detecting Motion Object by Spatio-temporal Entropy. In: Proc. IEEE International Conference on Multimedia and Expo., pp. 265–268 (2001)

    Google Scholar 

  12. Zelek, J.S.: Bayesian Real-time Optical Flow. In: School of Engineering, University of Guelph

    Google Scholar 

  13. Davis, L.: Time varying image analysis, http://www.umiacs.umd.edu/~1sd/426/motion.pdf

  14. Krumm, J., Toyama, K., Brumitt, B., Meyers, B.: The Ultimate Futility of Background Subtraction, Int. Journal of Computer Vision, 3–8 (Submitted)

    Google Scholar 

  15. Tian, Y.-L., Hampapur, A.: Robust Salient Motion Detection with Complex Background for Real-time Video Surveillance. IBM T.J.Watson Research Center, 1–6

    Google Scholar 

  16. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice-Hal, Englewood Cliffs (2002); ISBN: 0130946508

    Google Scholar 

  17. Mittal, A., Paragios, N.: Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation. In: Real-Time Vision and Modeling Siemens Corporate Research Princeton and C.E.R.T.I.S. Ecole Nationale de Ponts etc Chaussees Champs sur Marne, France, pp. 1–8

    Google Scholar 

  18. Lu, N., Wang, J., Wu, Q.H., Yang, L.: An Improved Motion Detection Method for Real-Time Surveillance. IAENG International Journal of Computer Science 35, 1, IJCS_35_1_16, 1–10

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Ambeth Kumar, V.D., Ramakrishan, M. (2011). Web Cam Motion Detection Surveillance System Using Temporal Difference and Optical Flow Detection with Multi Alerts. In: Das, V.V., Thomas, G., Lumban Gaol, F. (eds) Information Technology and Mobile Communication. AIM 2011. Communications in Computer and Information Science, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20573-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-20573-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20572-9

  • Online ISBN: 978-3-642-20573-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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