IPSJ Transactions on Computer Vision and Applications
Online ISSN : 1882-6695
ISSN-L : 1882-6695
Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation
Daigo MuramatsuYasushi MakiharaYasushi Yagi
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JOURNALS FREE ACCESS

2013 Volume 5 Pages 35-39

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Abstract

We focus on gait recognition for criminal investigation. In criminal investigation, person authentication is performed by comparing target data at the crime scene and multiple gait data with slightly different views from that of the target data. For this task, we propose fusion of direct cross-view matching. Cross-view matching generally produces worse result than those of same-view matching when view-variant features are used. However, the correlation between cross-view matching with different view pairs is low and it provides improved accuracy. Experimental results performed utilizing large-scale dataset under settings resembling actual criminal investigation cases, show that the proposed approach works well.

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© 2013 by the Information Processing Society of Japan
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