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An Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 75 - Number 12 |
| Year of Publication: 2013 |
| Authors: Kshitij Kumar, Suneeta Agarwal |
10.5120/13160-0752
|
Kshitij Kumar, Suneeta Agarwal . An Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination. International Journal of Computer Applications. 75, 12 ( August 2013), 1-7. DOI=10.5120/13160-0752
Abstract
This paper presents an efficient approach for moving objects detection and shadow removal from color videos obtained using stationary camera. A background subtraction technique based on modified adaptive GMM has been proposed for detecting moving objects. Speed-up techniques have also been applied to enhance the computational efficiency of the algorithm. Then, a robust algorithm for shadow removal is used to remove cast shadows and ghosts. Foreground is reconstructed using graph cut based cleaning and non-recursive blob finding. Comparative experimental results demonstrate that proposed approach performs better in comparison to other state-of-the-art algorithms.
References
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