Human appearance matching across multiple non-overlapping cameras

In this paper, we present a new solution to the problem of appearance matching across multiple non-overlapping cameras. Objects of interest, pedestrians are represented by a set of region signatures centered at points sampled from edges. The problem of frame-to-frame appearance matching is formulate...

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Bibliographic Details
Published in2008 19th International Conference on Pattern Recognition pp. 1 - 4
Main Authors Yinghao Cai, Kaiqi Huang, Tieniu Tan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Automation
Cameras
Constraint optimization
Cost function
Detectors
Histograms
Humans
Image matching
Laboratories
Pattern recognition
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Summary:In this paper, we present a new solution to the problem of appearance matching across multiple non-overlapping cameras. Objects of interest, pedestrians are represented by a set of region signatures centered at points sampled from edges. The problem of frame-to-frame appearance matching is formulated as finding corresponding points in two images as minimization of a cost function over the space of correspondence. The correspondence problem is solved under integer optimization framework where the cost function is determined by similarity of region signatures as well as geometric constraints between points. Experimental results demonstrate the effectiveness of the proposed method.
ISBN:9781424421749
1424421748
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2008.4761704