Research Article

Implementation of Abandoned Object Detection in Real Time Environment

by  Pallavi S. Bangare, Nilesh J. Uke, Sunil L. Bangare
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Issue 12
Published: November 2012
Authors: Pallavi S. Bangare, Nilesh J. Uke, Sunil L. Bangare
10.5120/9166-3564
PDF

Pallavi S. Bangare, Nilesh J. Uke, Sunil L. Bangare . Implementation of Abandoned Object Detection in Real Time Environment. International Journal of Computer Applications. 57, 12 (November 2012), 13-16. DOI=10.5120/9166-3564

                        @article{ 10.5120/9166-3564,
                        author  = { Pallavi S. Bangare,Nilesh J. Uke,Sunil L. Bangare },
                        title   = { Implementation of Abandoned Object Detection in Real Time Environment },
                        journal = { International Journal of Computer Applications },
                        year    = { 2012 },
                        volume  = { 57 },
                        number  = { 12 },
                        pages   = { 13-16 },
                        doi     = { 10.5120/9166-3564 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2012
                        %A Pallavi S. Bangare
                        %A Nilesh J. Uke
                        %A Sunil L. Bangare
                        %T Implementation of Abandoned Object Detection in Real Time Environment%T 
                        %J International Journal of Computer Applications
                        %V 57
                        %N 12
                        %P 13-16
                        %R 10.5120/9166-3564
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the extension of previous proposed work of abandoned object detection in real time system [1]. Recently the use of CCTV cameras for security purpose is increased . All the public places are now under the CCTV. Now state government has also made it compulsory to use CCTV for cooperative housing societies. This work is done to give the good quality abandoned object detection to enhance the security system. This papers talk about the improved quality by changing image intensity by % reduction approach.

References
  • Pallavi S. Bangare, Nilesh J. Uke, Sunil L. Bangare "An Approach for Detecting Abandoned Object from Real Time Video" International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 Vol. 2, Issue 3, May-Jun 2012, pp. 2646-2649
  • A. Singh, S. Sawan, M. Hanmandlu, V. K. Madasu, B. C. Lovell "An abandoned object detection system based on dual background segmentation" IEEE 2009 Advanced Video and Signal Based Surveillance.
  • Xuli Li, Chao Zhang, Duo Zhang, "Abandoned Objects Detection Using Double Illumination Invariant Foreground Masks", 2010 International Conference on Pattern Recognition,1051-4651/10, 2010 IEEE.
  • Chih-Yang Lin and Wen-Hao Wang, "An Abandoned Objects Management System Based on the Gaussian Mixture Model", International Conference on Convergence and Hybrid Information Technology 2008 978-0-7695-3328-5/08, 2008 IEEE.
  • N. Bird, S. Atev, N. Caramelli, R. Martin, O. Masoud and N. Papanikolopoulos, "Real Time, Online Detection of Abandoned Objects in Public Areas", in Proceedings of IEEE International Conference on Robotics and Automation, 2006, pp. 3775 – 3780.
  • F. Porikli, Y. Ivanov, and T. Haga, "Robust Abandoned Object Detection Using Dual Foregrounds", Eurasip Journal on Advances in Signal Processing, vol. 2008, 2008.
  • M. Bhargava, C-C. Chen, M. S. Ryoo, and J. K. Aggarwal, "Detection of Abandoned Objects in Crowded Environments", in Proceedings of IEEE Conference on Advanced Video and Signal Based Surveillance,2007, pp. 271 – 276
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Abandoned object CCTV Foreground mask Gaussian blur Surveillance systems

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