Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synchronization of oscillations for machine perception of gaits
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Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Studies on silhouette quality and gait recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
What image information is important in silhouette-based gait recognition?
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Statistical feature fusion for gait-based human recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Gait recognition by combining classifiers based on environmental contexts
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Robustness of biometric gait authentication against impersonation attack
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
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Vision-based human identification at a distance has attracted more attention recently. This paper makes a simple but efficient attempt to gait recognition. For each image sequence, animproved background subtraction procedure is first used to accurately extract spatial silhouettes of a walker from the background; Then, eigenspace transformation to time-varyingsilhouette shapes is performed to realize feature extraction; The nearest neighbor classifier using spatio-temporal correlation or the normalized Euclidean distance measure is finally utilized in the lower-dimensional eigenspace for recognition, and some additional personalized physical properties are selected for the validation of final decision. Experimental results on a small database show that the proposed algorithm has an encouraging recognition rate with relatively lower computational cost.