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Dynamic color flow: A motion-adaptive color model for object segmentation in video

Publication ,  Journal Article
Bai, X; Wang, J; Sapiro, G
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2010

Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, localized Gaussian mixtures, and pixel-wise adaptive ones, often fail to accurately represent the object appearance in complicated scenes, thereby leading to segmentation errors. We introduce a new color model, Dynamic Color Flow, which unlike previous approaches, incorporates motion estimation into color modeling in a probabilistic framework, and adaptively changes model parameters to match the local properties of the motion. The proposed model accurately and reliably describes changes in the scene's appearance caused by motion across frames. We show how to apply this color model to both foreground and background layers in a balanced way for efficient object segmentation in video. Experimental results show that when compared with previous approaches, our model provides more accurate foreground and background estimations, leading to more efficient video object cutout systems. © 2010 Springer-Verlag.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2010

Volume

6315 LNCS

Issue

PART 5

Start / End Page

617 / 630

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Bai, X., Wang, J., & Sapiro, G. (2010). Dynamic color flow: A motion-adaptive color model for object segmentation in video. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6315 LNCS(PART 5), 617–630. https://doi.org/10.1007/978-3-642-15555-0_45
Bai, X., J. Wang, and G. Sapiro. “Dynamic color flow: A motion-adaptive color model for object segmentation in video.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6315 LNCS, no. PART 5 (January 1, 2010): 617–30. https://doi.org/10.1007/978-3-642-15555-0_45.
Bai X, Wang J, Sapiro G. Dynamic color flow: A motion-adaptive color model for object segmentation in video. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2010 Jan 1;6315 LNCS(PART 5):617–30.
Bai, X., et al. “Dynamic color flow: A motion-adaptive color model for object segmentation in video.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6315 LNCS, no. PART 5, Jan. 2010, pp. 617–30. Scopus, doi:10.1007/978-3-642-15555-0_45.
Bai X, Wang J, Sapiro G. Dynamic color flow: A motion-adaptive color model for object segmentation in video. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2010 Jan 1;6315 LNCS(PART 5):617–630.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2010

Volume

6315 LNCS

Issue

PART 5

Start / End Page

617 / 630

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences