Fusion of Static and Dynamic Body Biometrics for Gait Recognition

Authors:
Liang Wang;Huazhong Ning;Tieniu Tan;Weiming Hu
Affiliations:
-;-;-;-
Venue:
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Year:
2003

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Abstract

Human identification at a distance has recently gainedgrowing interest from computer vision researchers. Thispaper aims to propose a visual recognition algorithmbased upon fusion of static and dynamic body biometrics.For each sequence involving a walking figure, posechanges of the segmented moving silhouettes arerepresented as an associated sequence of complex vectorconfigurations, and are then analyzed using the Procrustesshape analysis method to obtain a compact appearancerepresentation, called static information of body. Also, amodel-based approach is presented under a Condensationframework to track the walker and to recover joint-angletrajectories of lower limbs, called dynamic information ofgait. Both static and dynamic cues are respectively used forrecognition using the nearest exemplar classifier. They arealso effectively fused on decision level using differentcombination rules to improve the performance of bothidentification and verification. Experimental results on adataset including 20 subjects demonstrate the validity ofthe proposed algorithm.