Gauss Background Modeling Method Based on Multi-Scale Feature

Zhong Hai Li; Peng Bo Yu; Qing Cheng Zhang

doi:10.4028/www.scientific.net/AMM.385-386.1439

Paper Titles

Application Research of the Power Spectrum Estimation in the Ankle-Brachial Index Detection
p.1419

A Novel Scheme for Time Delay Estimation in the Fractional Fourier Transform Domain
p.1425

A Configurable Tilt License Plate Correction Method Based on Parallel Lines
p.1429

Image Threshold Segmentation Method Based on the Gradient Adjustment and Improved Moment Preserving
p.1434

Gauss Background Modeling Method Based on Multi-Scale Feature
p.1439

Comparison of Optical and Concentration Feature Used for fNIRS-Based BCI System Using HMM
p.1443

Alternate Orthogonally Polarization Jamming on ASLC System
p.1449

A Straight Line Preserving Seam Carving Technique
p.1453

Realtime Recognition of Attention State by Complexity Analysis of Electroencephalogram
p.1457

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Gauss Background Modeling Method Based on...

Gauss Background Modeling Method Based on Multi-Scale Feature

Abstract:

The existing background modelings are mostly color vision characteristics modeling based on single pixel, which are easily influenced by light shadow, weather and noise, and can easily cause foreground apertures and false alarm discrete noise. This paper presents the background modeling based on multiscale Gauss parameters against deficiencies. the experimental results shows that it can efficiently solve the problem of cavity and false alarm discrete noise.

You might also be interested in these eBooks

Applied Scientific Research and Engineering Developments for Industry

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1439-1442

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1439

Citation:

Cite this paper

Online since:

August 2013

Authors:

Zhong Hai Li, Peng Bo Yu, Qing Cheng Zhang

Keywords:

Background Modeling, Mixture Gauss Model, Multi-Scale Features

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Wang Shuan , Ai Haizhou, HE Kezhong. Difference-Image-Based Multiple Motion Targets Detection and Tracking. JOURNAL OF IMAGE AND GRAPHICS , 4(1999), pp.470-475.

Google Scholar

[2] Wren C R, Azarbayejani A, Darrell T. Pfinder: Realtime Tracking of the Human Body, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(1997), pp.780-785.

DOI: 10.1109/34.598236

Google Scholar

[3] SUO P, WANG Y J. An Improved Adaptive Background Modeling Algorithm Based on Gaussian Mixture Model. 9th International Conference on Signal Processing. Beijing: IEEE, (2008), pp.1436-1439.

DOI: 10.1109/icosp.2008.4697402

Google Scholar

[4] TURDU D, ERDOGAN H. Improving Gaussian Mixture Model Based Adaptive Background Modeling Using Hysteresis Thresholding. 5th Signal Processing and Communications Applications. Eskisehir: IEEE(2007), pp.997-1000.

DOI: 10.1109/siu.2007.4298725

Google Scholar

[5] KIM K, CHALIDABHONGSE T H, HARWOOD D, et al. Real-time Foreground-background Segmentation using Codebook Model. Real-Time Imaging, 11(2005), pp.172-185.

DOI: 10.1016/j.rti.2004.12.004

Google Scholar