Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Implementation of a Motion Detection System

Authors: Asif Ansari, T.C.Manjunath, C. Ardil

Abstract:

In today-s competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10-ths of the law. Hence, it is imperative for one to be able to safeguard one-s property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing have been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property. The latest technologies used in the fight against thefts and destruction are the video surveillance and monitoring. By using the technologies, it is possible to monitor and capture every inch and second of the area in interest. However, so far the technologies used are passive in nature, i.e., the monitoring systems only help in detecting the crime but do not actively participate in stopping or curbing the crime while it takes place. Therefore, we have developed a methodology to detect the motion in a video stream environment and this is an idea to ensure that the monitoring systems not only actively participate in stopping the crime, but do so while the crime is taking place. Hence, a system is used to detect any motion in a live streaming video and once motion has been detected in the live stream, the software will activate a warning system and capture the live streaming video.

Keywords: Motion, Detection, System, Video, Crime, Matlab, Surveillance.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058117

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3830

References:


[1] Duane C. Hanselman and Bruce L. Littlefield, "Mastering Matlab 7".
[2] Google search.
[3] Yahoo search engine.
[4] www.w3schools.com.
[5] www.mathworks.com.
[6] www.matlab.com.
[7] Rozinet, O. and Z. Szabo, "Hand motion detection using Matlab software environment".
[8] Nehme, M.A.; Khoury, W.; Yameen, B.; Al-Alaoui, M.A., "Real time color based motion detection and tracking", Proc. ISSPIT 2003, 3rd IEEE International Symposium on Signal Processing and Information Technology, 2003, 14-17 Dec. 2003 , pp. 696 - 700, 14-17 Dec. 2003.
[9] Josué A. Hern├índez-Garc├¡a, Héctor Pérez-Meana and Mariko Nakano- Miyatake, "Video Motion Detection Using the Algorithm of Discrimination and the Hamming Distance", Lecture Notes in Computer Science, Springer-Verlag, Germany.
[10] H.A.M. El_Salamony, H.F. Ali, and A.A. Darweesh, "3D Human Body Motion Detection and Tracking in Video", Proc. Acta Press.
[11] Song, Y.,"A perceptual approach to human motion detection and labeling", PhD thesis, California Institute of Technology, 2003.
[12] Yilmaz, A., M. Shah, "Contour Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras", Proc. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005.
[13] Borst, A. and Egelhaaf, M., "Principles of visual motion detection", Trends in Neurocience, Vol. 12, pp. 297-305, 1989.
[14] Wachter, S. and H.H. Nagel, "Tracking persons in monocular image sequences," Proc. Computer Vision and Image Understanding, Vol. 74, pp. 174-192, 1999.
[15] Gavrila, D., "The visual analysis of human movement: A survey," Proc. Computer Vision andImage Understanding, Vol. 73, pp. 82-98, 1999.
[16] Motion detection with image acquisition toolbox, Mathworks, Matlab.
[17] Prasad Nadkarni, Abhinav Semwal, Vikas Singh, "Motion based change dectection in .avi format", B.E. Thesis, Thakur College of Engg. & Tech., Kandivili (E), Mumbai-101, Maharashtra, India, 2007.