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2014 | OriginalPaper | Chapter

Detecting Motion Regions Using Statistic Parameters

Authors : Yun Gao, Hao Zhou, Xuejie Zhang

Published in: Unifying Electrical Engineering and Electronics Engineering

Publisher: Springer New York

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Abstract

Background subtraction has become a popular method for video-based motion detection. In this chapter, we present a novel statistic parametric model by doing statistical analysis for history samples, incorporating the parameters of the sample number forming the models, the sampling time center and the last time point, which are ignored by existing background models. With these parameters, the model can be updated in time and accurately. The experimental results show that the presented model can suppress false detections from tail phenomenon, shadows, illumination change, repetitive motion, cluttered areas, and so on.

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Literature
1.
Yilmaz A, Javed O, Shah M (2006) Object tracking: A survey. ACM Comp Surv 38(4):13+CrossRef
2.
Stauffer C, Grimson WEL (1999) Adaptive background mixture models for real-time tracking. IEEE Comp Soc Conf Comp Vision Pattern Recogn 2:2246–252
3.
Elgammal A, Harwood D, Davis L (2000) Non-parametric model for background subtraction. Lect Notes Comp Sci Springer Berlin Heidelberg 1843(48):751–767CrossRef
4.
Li YB, Jia HJ, Li A (2011) A moving objects detection method base on improved GMM. Adv Mater Res 225–226(1–2):637–641MathSciNet
5.
Sicre R, Nicolas H (2011) Improved Gaussian Mixture Model for the task of object tracking. Lect Note Comp Sci 6855:389–396MathSciNetCrossRef
6.
Fakharian A, Hosseini S, Gustafsson T (2011) Hybrid object detection using improved Gaussian Mixture Model. The 11th International Conference on Control, Automation and Systems, pp. 1475–1479
Metadata
Title
Detecting Motion Regions Using Statistic Parameters
Authors
Yun Gao
Hao Zhou
Xuejie Zhang
Copyright Year
2014
Publisher
Springer New York
Book
Unifying Electrical Engineering and Electronics Engineering

Print ISBN: 978-1-4614-4980-5

Electronic ISBN: 978-1-4614-4981-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4614-4981-2_128