Gait Recognition

Silhouette-Based Gait Analysis/Recognition

Abstract - As a human identification technique, gait recognition has recently gained significant attention. Especially, silhouette-based gait recognition has been most popular. We present a method that analyzes the quality of "disguised walking" based on shape context of silhouette images. "Disguised walking" indicates walking with various types of bags or clothes. Two cues are considered to characterize a gait: One corresponds to biometric shape cue (static cue) such as body height, width, shape, and body-part proportion; the other corresponds to motion cue (dynamic cue) such as stride length/style and amount/style of arm swing. Experimental results demonstrate that the style of "ordinary walking" is mainly determined by static cue but that of "disguised walking" by dynamic cue.

Cues

Double-stance image Mid-stance image Cumulative image Average mid-stance image

Preliminary Results - Recognition rate and risk