Efficient Background Subtraction Using Improved Multilayered Codebook
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2016 by IJCOT Journal | ||
| Volume - 6 Issue - 1 |
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| Year of Publication : 2016 | ||
| Authors : Jyothi Anusha, Ch.Kavitha, M.Baburao | ||
| DOI : 10.14445/22492593/IJCOT-V28P303 |
Citation
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.
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Keywords
Codebook , Foreground substraction , Moving object detection.