TY - GEN
T1 - Human characterization by a following robot using a depth sensor
AU - Shimoyama, Mirai
AU - Matsuhira, Nobuto
AU - Suzuki, Kaoru
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - In recent years, the service robotics market has been continuously expanding. A service robot needs to move and work among many people; therefore, it should be able to avoid obstacles and unnecessary people and provide service to specific people. Following robots, which assist people in carrying luggage at airports and hotels and packages at factories, have been developed. A following robot detects a person using a sensor and continues to follow him/her, but often loses sight of that person after a while. In this study, we attempt to detect a person using the Xtion® depth sensor, manufactured by ASUS. We propose a way to identify people using "shoulder width" and "head height" in a triangle consisting of three points on the head, left shoulder, and right shoulder. The parameters are calculated from the data obtained from the face and torso.
AB - In recent years, the service robotics market has been continuously expanding. A service robot needs to move and work among many people; therefore, it should be able to avoid obstacles and unnecessary people and provide service to specific people. Following robots, which assist people in carrying luggage at airports and hotels and packages at factories, have been developed. A following robot detects a person using a sensor and continues to follow him/her, but often loses sight of that person after a while. In this study, we attempt to detect a person using the Xtion® depth sensor, manufactured by ASUS. We propose a way to identify people using "shoulder width" and "head height" in a triangle consisting of three points on the head, left shoulder, and right shoulder. The parameters are calculated from the data obtained from the face and torso.
UR - http://www.scopus.com/inward/record.url?scp=85050870612&partnerID=8YFLogxK
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U2 - 10.1109/SII.2017.8279353
DO - 10.1109/SII.2017.8279353
M3 - Conference contribution
AN - SCOPUS:85050870612
T3 - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
SP - 998
EP - 1003
BT - SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE/SICE International Symposium on System Integration, SII 2017
Y2 - 11 December 2017 through 14 December 2017
ER -