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Research of Robust Follower Recognition Function for Airport Guide Robot

Abstract

Hospitality is a key factor for the success of guide robot service. This paper defines a new recognition function called follower recognition, and proposes a hybrid approach to realize the follower recognition function. This approach creates a fusion of facial recognition, human body tracking, and person re-identification algorithms and takes advantage of the respective technological characteristics to realize robust follower recognition against issues such as recognition distance change, illumination change, and occlusion from the robot’s perspective. The proving test result at Narita International Airport showed that the proposed approach is practical in guide robot service.

References

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Publication Information

Article of Honda R&D Technical Review Vol.33 No.1 (19 - 27)

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Citation Information

Zijun SHA, Yoichi NATORI, Takahiro ARIIZUMI.
Research of Robust Follower Recognition Function for Airport Guide Robot
Honda R&D Technical Review Vol.33 No.1 pp.(19 - 27)2021.
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