NDLI: ViBeExt: The extension of the universal background subtraction algorithm for distributed smart camera

Content Provider	IEEE Xplore Digital Library
Author	Fang Zhu Ping Jiang Zhaobin Wang
Copyright Year	2012
Description	Author affiliation: Jiangsu Security and Video Surveillance Engineering, Research Center, Nanjing, P.R. China (Fang Zhu) \|\| Science and Technology Department of Police, Nanjing, P.R. China (Ping Jiang; Zhaobin Wang)
Abstract	This paper presents a technique for improving the accuracy and robustness of the high speed background subtraction method called ViBe at very limited additional cost. Despite the through-output efficiency of ViBe, which is suitable for embedded in smart camera, it also incorporates several innovative mechanisms differing from those classical algorithms, like GMM, such as propagated current pixel value into the background model of a neighbouring pixel. However, such propagation neglect the difference of neighbouring pixels, which will introduce some defects. In this paper, not only we introduce the edge characteristic info for more accurately updating the background model, but also through neighbourhood mean filter to strengthen the pixel's spatial correlation, which is the primary principle behind ViBe. Thoroughly experiments have been carried out, and efficiency figures show that our method improved the accuracy and robustness of ViBe with a little additional cost, which is more suitable for distributed smart camera.
Starting Page	164
Ending Page	168
File Size	247484
Page Count	5
File Format	PDF
ISBN	9781467324656
e-ISBN	9781467324670
DOI	10.1109/MSNA.2012.6324539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Neighbourhood mean filier Accuracy Background Subtraction Image edge detection Noise Smart cameras Filtering algorithms Gaussian mixture model (GMM) Robustness ViBe Edge characteristic
Content Type	Text
Resource Type	Article

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