A novel background updating algorithm based on the logical relationship

Authors:
Ning Li;De Xu;Bing Li
Affiliations:
Institute of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China;Institute of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China;Institute of Computer Science and Engineering, Beijing Jiaotong University, Beijing, China
Venue:
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Year:
2007

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Abstract

Moving object detection and segmentation is a fundamental technology for video applications. Background subtraction is a basic component step for this task: given a frame in the video sequence, a moving object can be detected by spotting the parts of the frame that do not fit the background model. Therefore, a high performance background modeling and background updating algorithm is crucial for background subtraction. We work with a fixed camera in a stationary scene and a simple non-statistical background model is utilized, therefore we formulate the problem of background subtraction as the problem of background updating. This paper proposes a novel and efficient background updating algorithm based on the logic AND and XOR relationship of the change information in difference frames.