Motion Detection surveillance system is an advancement in the current era of technology. In this paper, we have proposed a technology to detect objects, to track moving objects, to eliminate noises and to save videos of our interest. This technique will be highly useful for both home and office needs as these areas demand a reliable surveillance system nowadays. The experiments conducted in accordance with proposed methods which are suitable for real-time surveillance system [1]. The main objective of this provide a secure surveillance system in areas such as ATMs or offices where recording takes place only when objects is present (in motion).

Background Subtraction; Robust Algorithm; Gaussian Mixture Models; Multiple Moving Object Tracking; Background Modeling; Blob Labeling; Group Tracking

[1] Li Fang, School of Computer Science Nanyang Technological University, Singapore and Zhang Meng, Dunman High School Claire Chen Qian Hui River Valley High School, Singapore. “Smart Motion Detection Surveillance System”. Published by IEEE on 21 July 2009.
[2] M. Hedayati, Wan Mimi Diyana Wan Zaki and Aini Hussain, Department of Electrical, Electronics and Systems Engineering Faculty of Engineering University Kebangsaan Malaysia, “Real-Time Background Subtraction for Video Surveillance: From Research To Reality”, 2010, 6th International Colloquium on Signal Processing & its Applications (CSPA), IEEE publication, 09 August 2010.
[3] Jong Sun Kim, Dong Hae Yeom, and Young Hoon Joo, “Fast and Robust Algorithm of Tracking Multiple Moving Objects for Intelligent Video Surveillance Systems” IEEE Transactions on Consumer Electronics, Vol. 57, No. 3, August 2011. :1165 – 1170.
[4] Fang Zhu, Zhangjun Fei and Feiling Chen, “A Fast and Robust Algorithm of Motion Detection for distributed outdoor surveillance”, National ASCI System Engineering Research Center, South East University Nanjing, P.R.China and Surveillance Engineering Research Center Nanjing, P.R.China.
[5] Mr. Deepjoy Das and Dr. Sarat Saharia from Department of Computer Science & Engineering, Tezpur University, Assam, India “Implementation and Performance Evaluation Of Background Subtraction Algorithms” International Journal on Computational Sciences & Application (IJCSA) Vol 4, No. 2, April 2014.
[6] Amrut C. Saindane, Pravin S. Patil from North Maharastra University, Jalgaon “An Efficient Human Recognition Using Background Subtraction and Bounding Box Technique for Surveillance Systems” IJCSE Publisher volume-4, Issue-12.
[7] Aseema Mohanty, Scholar, DIMAT, CSVTU Raipur, India and Sanjivani Shantaiya, Assistant Professor, DIMAT, CSVTU, Raipur, India, “A Survey On Moving Object Detection using Background subtraction Method in video”, IJCA Proceedings on National Conference On Knowledge, Innovation in Technology and Engineering (NCKITE 2015(2)), Vol 182, 5-10 July 2015 Edition.
[8] Rupali S.Rakibe, Bharati D.Patil from GHRCEM Wagholi, Pune. “Background Subtraction Algorithm Based Human Motion Detection”, International Journal of Scientific and Research Publication, Volume 3, Issue 5 May 2013.
[9] Hájek Lukás, “Czech Technical University in Prague Faculty of Nuclear Sciences and Physical Engineering”, 3 April 2012.