Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Soft biometrics-combining body weight and fat measurements with fingerprint biometrics
Pattern Recognition Letters
Face matching and retrieval using soft biometrics
IEEE Transactions on Information Forensics and Security
Imputing human descriptions in semantic biometrics
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Accommodating human variability in human-robot teams through theory of mind
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Social engagement in public places: a tale of one robot
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Person identification is a fundamental robotic capability for long-term interactions with people. It is important to know with whom the robot is interacting for social reasons, as well as to remember user preferences and interaction histories. There exist, however, a number of different features by which people can be identified. This work describes three alternative, soft biometrics (clothing, complexion, and height) that can be learned in real-time and utilized by a humanoid robot in a social setting for person identification. The use of these biometrics is then evaluated as part of a novel experiment in robotic person identification carried out at Fleet Week, New York City in May, 2012. In this experiment, Octavia employed soft biometrics to discriminate between groups of 3 people. 202 volunteers interacted with Octavia as part of the study, interacting with the robot from multiple locations in a challenging environment.