Motion detection in old film sequences using adaptive Gaussian mixture model

Xiaoyong Zhang, Masahide Abe, Masayuki Kawamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper proposes a motion detection method based on Gaussian mixture model for detecting the moving objects in old film sequences. Conventional motion detection techniques can hardly be applied to the old film sequences due to the influence of intensity flicker. The proposed method combines an adaptive mixture method with a motion detection. The intensities of a particular pixel along the temporal direction are modeled as the Gaussian mixture model. The adaptive mixture method can automatically determine the number of components in the Gaussian mixture model and estimate the parameters of each Gaussian component. Then the components with small weights are chosen as the components corresponding to the moving objects. Experimental results show that the proposed method can effectively detect the moving objects in old film sequences.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages2337-2340
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 2011 Sep 112011 Sep 14

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2011 18th IEEE International Conference on Image Processing, ICIP 2011
CountryBelgium
CityBrussels
Period11/9/1111/9/14

Keywords

  • Digital restoration
  • Gaussian mixture model
  • adaptive estimation
  • motion detection

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Zhang, X., Abe, M., & Kawamata, M. (2011). Motion detection in old film sequences using adaptive Gaussian mixture model. In ICIP 2011: 2011 18th IEEE International Conference on Image Processing (pp. 2337-2340). [6116108] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2011.6116108