Conference Proceeding

Motion object detection of video based on principal component analysis

Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
08/2008; DOI:10.1109/ICMLC.2008.4620911 ISBN: 978-1-4244-2095-7 pp.2938 - 2943 In proceeding of: Machine Learning and Cybernetics, 2008 International Conference on, Volume: 5
Source: IEEE Xplore

ABSTRACT As the traditional method of background subtraction is interfered greatly by external factors, such as light, this paper proposes a method which utilizes three adjacent frames of image sequences to compute the principal components at first , then extracts the second principal component to remove the background of image. Through employing the operation of mathematical morphology and an improved background subtraction, it can remove the background of image efficiently, and implement quick detection. The result of experiment proves that, this method can improve efficiency and precision of detection, and has its practical value in the video monitoring.

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Keywords

background subtraction
 
external factors
 
image sequences
 
improved background subtraction
 
practical value
 
principal components
 
second principal component
 
traditional method
 
video monitoring