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Robust foreground detection in video using pixel layers.

Publication ,  Journal Article
Patwardhan, KA; Sapiro, G; Morellas, V
Published in: IEEE transactions on pattern analysis and machine intelligence
April 2008

A framework for robust foreground detection that works under difficult conditions such as dynamic background and moderately moving camera is presented in this paper. The proposed method includes two main components: coarse scene representation as the union of pixel layers, and foreground detection in video by propagating these layers using a maximum-likelihood assignment. We first cluster into "layers" those pixels that share similar statistics. The entire scene is then modeled as the union of such non-parametric layer-models. An in-coming pixel is detected as foreground if it does not adhere to these adaptive models of the background. A principled way of computing thresholds is used to achieve robust detection performance with a pre-specified number of false alarms. Correlation between pixels in the spatial vicinity is exploited to deal with camera motion without precise registration or optical flow. The proposed technique adapts to changes in the scene, and allows to automatically convert persistent foreground objects to background and re-convert them to foreground when they become interesting. This simple framework addresses the important problem of robust foreground and unusual region detection, at about 10 frames per second on a standard laptop computer. The presentation of the proposed approach is complemented by results on challenging real data and comparisons with other standard techniques.

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Published In

IEEE transactions on pattern analysis and machine intelligence

DOI

EISSN

1939-3539

ISSN

0162-8828

Publication Date

April 2008

Volume

30

Issue

4

Start / End Page

746 / 751

Related Subject Headings

  • Video Recording
  • Signal Processing, Computer-Assisted
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Artificial Intelligence & Image Processing
  • Artificial Intelligence
  • Algorithms
 

Citation

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Patwardhan, K. A., Sapiro, G., & Morellas, V. (2008). Robust foreground detection in video using pixel layers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(4), 746–751. https://doi.org/10.1109/tpami.2007.70843
Patwardhan, Kedar A., Guillermo Sapiro, and Vassilios Morellas. “Robust foreground detection in video using pixel layers.IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 4 (April 2008): 746–51. https://doi.org/10.1109/tpami.2007.70843.
Patwardhan KA, Sapiro G, Morellas V. Robust foreground detection in video using pixel layers. IEEE transactions on pattern analysis and machine intelligence. 2008 Apr;30(4):746–51.
Patwardhan, Kedar A., et al. “Robust foreground detection in video using pixel layers.IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 4, Apr. 2008, pp. 746–51. Epmc, doi:10.1109/tpami.2007.70843.
Patwardhan KA, Sapiro G, Morellas V. Robust foreground detection in video using pixel layers. IEEE transactions on pattern analysis and machine intelligence. 2008 Apr;30(4):746–751.

Published In

IEEE transactions on pattern analysis and machine intelligence

DOI

EISSN

1939-3539

ISSN

0162-8828

Publication Date

April 2008

Volume

30

Issue

4

Start / End Page

746 / 751

Related Subject Headings

  • Video Recording
  • Signal Processing, Computer-Assisted
  • Sensitivity and Specificity
  • Reproducibility of Results
  • Pattern Recognition, Automated
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Artificial Intelligence & Image Processing
  • Artificial Intelligence
  • Algorithms