吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (01): 239-0243.

• paper • Previous Articles     Next Articles

Background modeling and foreground object segmentation in H.264 compressed domain

FENG Jie, CHEN Yao-wu   

  1. Institute of Advanced Digital Technology and Instrumentation, Zhejiang University, Hangzhou 310027,China
  • Received:2009-05-28 Online:2011-01-01 Published:2011-01-01

Abstract:

A new method of modeling the background and segmenting object in H.264 compressed domain was proposed. First, the information of the DC and AC coefficients in I frames were used to build the Block Residual Energy Image (BREI). Then the energy image was filtered by using the intra prediction information. Finally, the mixed Gaussian model was employed to model the background and segment the foreground object. Analysis shows that using the proposed method can achieve satisfactory background modeling and object segmentation results.

Key words: communication, background modeling, object segmentation, block residual energy image, mixture Gaussian model

CLC Number: 

  • TN919.8
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