By Topic

Adaptive background model for moving objects based on PCA

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ghaeminia, M.H. ; Sch. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran ; Shokouhi, S.B.

Background modeling and detecting moving objects in scene is a convenient method in many surveillance systems. We propose an approach that is useful in estimating background. In our approach, first each frame is divided to blocks, and blocks in frame sequences sorted to make block series. Finally PCA process applied to these block series. Based on PCA theorem if there is change in block series which means there is not pure background, the main component of block series is comparable to other components of series. By detecting these regions and neglecting it from scene a background modeled. This approach was known as multi block PCA which was used before for detection changes in images and now in this paper we apply it to video sequences adaptively. In this model dimension of database equals to number of frames which made block series. Also our experiments show that this method is robust in change illumination because the model is updated periodically. Moreover computational complexity of the algorithm and accuracy in localizing moving objects could be compared with other fast clustering based background modeling such as Mixture of Gaussian (MoG) and mean shift technique.

Published in:

Machine Vision and Image Processing (MVIP), 2010 6th Iranian

Date of Conference:

27-28 Oct. 2010