Email this article 
Open Access
Subscription or Fee Access
Monitoring and Movement Detection of an Object Using Connective Frame Comparison Method
Abstract
Detection of movement of objects is very important in various areas. Movement detection system gives notification when some object for which monitoring is to be done change its physical state from one to another. This paper presents a motion detection mechanism based on consecutive Frame comparison method. System can detect the motion of real world by using camera or from within the video film by extracting the consecutive frames [3]. The proposed system is also tested on real world data and corresponding results are discussed.
Keywords
References
Zhang shun, Su Xiuqin, Xie Liyin ,” Global Motion Compensation for Image Sequences and Motion Object Detection” IEEE, 2010.
Chandana S*,”Real Time Video Surveillance System Using Motion Detection” IEEE,2011
Milos Pilipovic et al.” A Real-Time Projection System Based on Object Motion Detection and Tracking using Optical Camera”IEEE 2011.
Chunrong Yuan et al,” Detection of Moving Objects by Statistical Motion Analysis” IEEE, 2010
Maha M. Azab et al, ”A New Technique For Background Modeling and Subtraction For Motion Detection in a Real Time” IEEE,2010.
Lijing Zhang et al,” Motion human detection based on Background Subtraction,” IEEE 2010.
Suwich Tirakoat, “Optimized Motion Capture System For Full Body Human Motion Capturing Case Study of Educational Institution and Small Animation Production”, IEEE, 2011
Francesco Cardile, Giancarlo Iannizzotto et al, “A Vision Based System for Elderly Patients Monitoring” , IEEE, 2010
Qiang Liu, Robert J. Sclabassi et al, “A DCT- Domain Approach to image change detection and its application to patient video monitoring”,MultiMedia Signal Processing Workshop,IEEE,2005.
K. S. Tan, R. Saatchi et al, “Real-Time Vision Based Respiration Monitoring System”, IEEE 2010
B. Gelbord and G.Roelofsen, “New surveillance techniques raise privacy concerns,” Com. ACM, vol. 45, no. 11, pp.
T. Kanade, R.Collins, and A.Lipton, “Advances in cooperative multi-sensor video surveillance,” in DARPA Image Understanding Workshop, pp. 3–24, Nov. 1998. ISO/IEC 15444-1. JPEG 2000 image coding system, 2000.
D. Taubman. High performance scalable image compression with EBCOT. IEEE Transactions on Image Processing, 9(7):1158–1170, July 2000.
R. Collins, A.Lipton, H.Fujiyoshi, and T. Kanade, “Algorithms for cooperative multisensor surveillance,” in the IEEE Conf., vol. 89, pp. 1456-1477, Oct. 2001.
P. Rajkumar, “Motion Detection Based Interactive Surveillance Systems for Mobile Clients” B.Tech. PG Scholar, Dept. of CSE Sudharsan Engineering College,
P. Rajkumar, B. Tech., V.P. Gladis Pusupa Rathi, “Motion Detection Based Interactive Surveillance Systems for Mobile Clients”, 2011 International Conference on Information and Network Technology, IACSIT Press, Singapore.
R. Collins, A.Lipton, H.Fujiyoshi, and T.Kanade, “Algorithms for cooperative multisensor surveillance,” in the IEEE Conf., vol. 89, pp.1456-1477, Oct. 2001
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.