Background subtraction using generalised Gaussian family model

Electronics Letters

Volumn 44, Issue 3, 2008, Pages 189-190

  Kim, H ^a   Sakamoto, R ^a   Kitahara, I ^a   Toriyama, T ^a   Kogure, K ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GAUSSIAN DISTRIBUTION; MATHEMATICAL MODELS;

BACKGROUND SUBTRACTION; FOREGROUND REGIONS; GAUSSIAN FAMILY MODEL; MULTIPLE THRESHOLDS;

IMAGE ANALYSIS;

EID: 38849108290     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20083126     Document Type: Article

References (6)

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2. Lee, D.S., Hull, J.J., and Erol, B.: ' A Bayesian framework for Gaussian mixture background modeling ', Proc. ICIP, Barcelona, Spain, 2003, 3, p. 973-976
3. Porikli, F., and Tuzel, O.: ' Human body tracking by adaptive background models and mean-shift analysis ', Proc. PETS-ICVS, Austraia, 2003
4. Elgammal, A., Harwood, D., and Davis, L.S.: ' Non-parametric model for background subtraction ', Proc. ECCV, Dubin, Ireland, 2000, 2, p. 751-767
5. Kim, H., Sakamoto, R., Kitahara, I., Toriyama, T., and Kogure, K.: ' Robust silhouette extraction technique using background subtraction with multiple thresholds ', Opt. Eng., 2007, 46, (9), p. 097004
6. Lee, J.Y., and Nandi, A.K.: ' Maximum likelihood parameter estimation of the asymmetric generalized Gaussian family of distribution ', Proc. SPW-HOS, Caesarea, Israel, 1999