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Detecting humans under occlusion using variational mean field method

Conference Paper


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Abstract


  • This paper proposes a human detection method using variational mean field approximation for occlusion reasoning. In the method, parts of human objects are detected individually using template matching. Initial detection hypotheses with spatial layout information are represented in a graphical model and refined through a Bayesian estimation. In this paper, mean field method is employed for such an estimation. The proposed method was evaluated on the popular CAVIAR-INRIA dataset. Experimental results show that the proposed algorithm is able to detect humans in severe occlusion within reasonable processing time.

Publication Date


  • 2011

Citation


  • Nguyen, D., Ogunbona, P. & Li, W. (2011). Detecting humans under occlusion using variational mean field method. 18th IEEE International Conference on Image Processing, ICIP 2011 (pp. 2049-2052). USA: IEEE.

Scopus Eid


  • 2-s2.0-84863078562

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=9528&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2193

Has Global Citation Frequency


Start Page


  • 2049

End Page


  • 2052

Place Of Publication


  • USA

Abstract


  • This paper proposes a human detection method using variational mean field approximation for occlusion reasoning. In the method, parts of human objects are detected individually using template matching. Initial detection hypotheses with spatial layout information are represented in a graphical model and refined through a Bayesian estimation. In this paper, mean field method is employed for such an estimation. The proposed method was evaluated on the popular CAVIAR-INRIA dataset. Experimental results show that the proposed algorithm is able to detect humans in severe occlusion within reasonable processing time.

Publication Date


  • 2011

Citation


  • Nguyen, D., Ogunbona, P. & Li, W. (2011). Detecting humans under occlusion using variational mean field method. 18th IEEE International Conference on Image Processing, ICIP 2011 (pp. 2049-2052). USA: IEEE.

Scopus Eid


  • 2-s2.0-84863078562

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=9528&context=infopapers

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/2193

Has Global Citation Frequency


Start Page


  • 2049

End Page


  • 2052

Place Of Publication


  • USA