International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 75 - Issue 12 |
Published: August 2013 |
Authors: Kshitij Kumar, Suneeta Agarwal |
![]() |
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
@article{ 10.5120/13160-0752, author = { Kshitij Kumar,Suneeta Agarwal }, title = { An Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 75 }, number = { 12 }, pages = { 1-7 }, doi = { 10.5120/13160-0752 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Kshitij Kumar %A Suneeta Agarwal %T An Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination%T %J International Journal of Computer Applications %V 75 %N 12 %P 1-7 %R 10.5120/13160-0752 %I Foundation of Computer Science (FCS), NY, USA
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.