Appearance Model Based Moving Object Matching across Disjoint Camera Views

Kong Shuai Yu; Dong  Hu

doi:10.4028/www.scientific.net/AMR.760-762.1322

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762Appearance Model Based Moving Object Matching...

Appearance Model Based Moving Object Matching across Disjoint Camera Views

Abstract:

A new object tracking scheme for multi-camera surveillance with non-overlapping views is proposed in this paper. Brightness transfer function (BTF) is used to establish relative appearance correspondence between different views. Mixtures of probabilistic principal component analysis (MPPCA) is incooperated to learn the subspace of brightness transfer function with the concern to deal with multiple different brightness areas in a scene. The incremental major color spectrum histogram (IMCSH) is used as similarity measure for reliable matching. Experimental results with real world videos show the effectiveness of the proposed algorithm.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1322-1326

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1322

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Online since:

September 2013

Authors:

Kong Shuai Yu, Dong Hu

Keywords:

Appearance Model, Brightness Transfer Function, Non-Overlapping Camera Views, Object Matching

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