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Proceedings Paper

Perimeter intrusion detection based on improved Surendra background update algorithm
Author(s): Feng Ding; Hong Wang; Hongsheng Zhong; Longhua Yu
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Paper Abstract

An improved Surendra background update algorithm for moving targets detection is proposed in this paper, which is beneficial to the background update and can automatically change threshold. Firstly, the initial background frame can be obtained through the arithmetic average to the first few frame images. Secondly, The OTSU method is used for adaptive threshold selection to background updating, so that the moving objects can be obtained by morphological processing. Experiments show that the improved Surendra background updating algorithm can detect the moving targets effectively and overcome the original method's shortcoming which needs to manually intervene the threshold. The impact of such background disturbances and illumination changes to moving targets detection has a good inhibition.

Paper Details

Date Published: 9 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800938 (9 July 2011); doi: 10.1117/12.896679
Show Author Affiliations
Feng Ding, Univ. of Electronic Science and Technology of China (China)
Hong Wang, Univ. of Electronic Science and Technology of China (China)
Hongsheng Zhong, Univ. of Electronic Science and Technology of China (China)
Longhua Yu, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)

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