Title :
An Effective Background Subtraction Method Based on Pixel Change Classification
Author :
Fu, Songyin ; Jiang, Gangyi ; Yu, Mei
Author_Institution :
Fac. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
Abstract :
Background subtraction is an effective way which is commonly used in intelligent monitoring system for extraction of moving objects. However, the key step of background subtraction need for a precise and time-varying background model. In this paper, we describe an improved background model with its updating method, and apply to a computer vision-based motion detection system able to detect moving objects in real-time. Our system first establishes an background based on Gaussian model; second computes the set of statistical parameters of background model according to the way pixel changes; and then extracts moving objects using the updated background model. Finally experimental results and a performance measure establishing the confidence of the method are presented.
Keywords :
Gaussian processes; computer vision; feature extraction; image classification; monitoring; motion estimation; object detection; Gaussian model; computer vision; effective background subtraction method; intelligent monitoring system; motion detection system; moving object extraction; pixel change classification; Color; Computational modeling; Monitoring; Motion detection; Object detection; Pixel; Real time systems; Background Subtraction; Background updating; Motion detection; Traffic and performance monitoring;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1120