Research on Information Technology with Moving Object Segmentation Based on Memory Matrix and Kalman Filter

Abstract:

In this paper,information technology is introduced briefly and in order to avoid inaccurate segmentation of moving objects caused by object holes and ghost, an automatic moving object segmentation method which belongs to information technology based on memory matrix and Kalman filter theory is proposed. Memory matrix is used in multiple channels to extract the initial background, and ghost is eliminated after updating background according to the theory of Kalman filter. Moving objects are extracted using adaptive threshold, and object segmentation is achieved by improved region growing method on base of block processing. The experimental results indicate that the proposed algorithm can accurately segment moving object from video sequences, and has very good robustness against illumination variance and moving noise.

• Periodical: Advanced Materials Research (Volume 859)
• Pages: 482-485
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.859.482
• Online since: December 2013
• Authors: Can Can Zhou, Xiao Run Li
• Keywords: Background Update, Information Technology (IT), Kalman Filter (KF), Memory Matrix, Region Growing

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