DocumentCode :
2487235
Title :
Human appearance matching across multiple non-overlapping cameras
Author :
Cai, Yinghao ; Huang, Kaiqi ; Tan, Tieniu
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
image matching; image sensors; optimisation; frame-to-frame appearance matching; human appearance matching; integer optimization framework; multiple non overlapping cameras; region signatures; Automation; Cameras; Constraint optimization; Cost function; Detectors; Histograms; Humans; Image matching; Laboratories; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761704
Filename :
4761704
Link To Document :
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