Efficient Background Subtraction Using Improved Multilayered Codebook

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2016 by IJCOT Journal
Volume - 6 Issue - 1
Year of Publication : 2016
AuthorsJyothi Anusha, Ch.Kavitha, M.Baburao
  10.14445/22492593/IJCOT-V28P303

MLA

Jyothi Anusha, Ch.Kavitha, M.Baburao"Efficient Background Subtraction Using Improved Multilayered Codebook", International Journal of Computer & organization Trends (IJCOT), V6(1):14-21 Jan - Feb 2016, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract Detection of moving objects in video is a highly demanding area of research for object tracking. Background subtraction is the technique used to extract the foreground for object recognition in a video. The fast background subtraction algorithms can yield optimal results in foreground detection models. Codebooks are used to store compressed information by demanding high speed processing and less memory usage. Multilayered codebook(MCB) model provides a mechanism which uses block based and pixel based codebooks for high speed background subtraction with out refining noise and smoothing of edges, so it detects the single object as the multiple objects. Improved MCB perform refining the results from MCB by employing medianfilter which is one kind of smoothing technique at the same time it reduces the noise in a video. As a result, the improved multilayered codebook model performs well against the noise and smoothing of edges compared to traditional models.

References-

[1]. Deval jansari, Shankar parmar “Novel Object Detection Method Based on the Optical Flow”. In proc. ICETCIP conf. Jan. 2015
[2] Nishu Singla “Motion Detection Based on Frame Differencing Method” in international journal of Information & Computation Technology. vol.4 No.15, pp.1559-1565, 2014.
[3]Ssu-Wei Chen, Luke K. Wang, Jen-Hong Lan “Moving Object tracking Based on Background Subtraction Combined TemporalDifference” In proc. ICETCIP conf. Dec. 2011.
[4]Reza Oji” An Automatic Algorithmfor Object Recognition and Detection Based On ASIFT Key Points” Signal & Image Processing: An International Journal (SIPIJ) Vol.3, No.5, October 2012
[5]Jing-Ming Guo,member,IEEE and Chih-Yu-Lin” Parallel and element-reduced error-diffused blocktruncation coding” IEEE transactions on communications,vol.58,No.6,June 2010
[6] Yuanyuan Cui, Xiaoqiang Guo, Wan Liu and Aidong Men, “An advanced codebook background model using confidence and membership function” 2014 IEEE international conference on acoustic, speech and signal processing (icassp).
[7]. Mohamad Hoseyn Sigari, Mahmood Fathy,” Real-time Background Modeling/Subtraction using Two-Layer Codebook Model” Proceedings of the International MultiConference of Engineers and Computer Scientists 2008 Vol IIMECS 2008, 19- 21 March, 2008, Hong Kong
[8] Jing-Ming Guo, Member, IEEE and Chih-Sheng Hsu “Hierarchical Method for Foreground Detection Using Codebook Model” Proceedings of 2010 IEEE 17th International Conference on Image Processing
[9] Jing-Ming Guo, Senior Member, IEEE, Chih-Hsien Hsia, Member IEEE, Yun-Fu Liu, Student Member, IEEE,Min- Hsiung Shih, Cheng-Hsin Chang, and Jing-Yu Wu” Fast Background Subtraction Based on a Multilayer Codebook Model for Moving Object Detection” IEEE transactions on circuits and systems for video technology, vol. 23, no. 10, october 2013
[10] Sin Hoong Teoh, Boon Tatt Koik, and Haidi Ibrahim,” Exploration of Current Trend on Median Filtering Methods Utilized in Digital Grayscale Image Processing” International Journal of Materials, Mechanics and Manufacturing, Vol. 1, No. 1, February 2013

Keywords-
Codebook , Foreground substraction , Moving object detection.