Shiraga et al proposed a novel gait-based person authentication by wearable cameras, and quantitatively evaluate its authentication accuracy; which is in contrast to previous methods using motion sensors. They utilized wearable cameras for personal authentication by examining motion during walking obtained from visual information. This motion appears to provide a valid representation of the gait of the wearer. They then developed a prototype system of wearable surveillance, which is a new concept of surveillance that they have proposed. The performance of their gait-based person authentication method was experimentally evaluated with 39 subjects using the prototype system, revealing an Equal Error Rate (EER) of 5.6%.