T. MohanRaj, Ms. A. Nandini, Saveetha Engineering College, Chennai, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.01.28
International Journal of Advanced Information and Communication Technology
Received On : August 07, 2014
Revised On : September 21, 2014
Accepted On : October 12, 2014
Published On : November 05, 2014
Volume 01, Issue 07
Pages : 145-148
Abstract
Video surveillance is rapidly increasing meaningful approach for deterrent to crime, and ability to apprehend a suspect when a crime occurs. Before few years video surveillance paired with security guards which means security guards should watch surveillance TV at 24/7 days it made more pricy. But nowadays it’s turned into automatic which gives good safety with low budget. Normally Surveillance system is unification of three phases Object segmentation, Object classification, Object Tracking and Our proposed system design is directed on automatic classification of objects in video surveillance. In this paper, mainly we magazine previous research on object classification and analyze experimental results, finally provide our conclusions for improved performances. One stationary camera has been used for retrieve input.
Keywords
Video surveillance, background subtraction, contour formation, object classification.
Cite this article
T. MohanRaj, A. Nandini, “Human Detection from Video Surveillance Using Silhouette - Based Method” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.145-148, November 05, 2014.
Copyright
© 2014 T. MohanRaj, A. Nandini. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.