Real-time face detection for human robot interaction

Author

Pan, Yaozhang ; Ge, Shuzhi Sam ; He, Hongsheng ; Chen, Lei

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore

fYear

2009

fDate

Sept. 27 2009-Oct. 2 2009

Firstpage

1016

Lastpage

1021

Abstract

Face detection plays an important role in developing human-robot interaction (HRI) for social robots to recognize people. In this paper, we introduce an intelligent vision system that is able to detect human face from background and filter out all the non-face but face-like images. The human face is detected using Ada boost-based Haar-Cascade classifier and the real human face detection is improved using extreme learning machine (ELM). The proposed robot vision system for human detection is tested through realtime experiments.

Keywords

face recognition; feedforward neural nets; human-robot interaction; image classification; neurocontrollers; robot vision; Ada boost-based Haar-Cascade classifier; ELM; HRI; extreme learning machine; human-robot interaction; intelligent vision system; real-time face detection; robot vision system; single hidden layer feedforward network; social robot; Face detection; Face recognition; Filters; Human robot interaction; Intelligent robots; Intelligent systems; Learning systems; Machine learning; Machine vision; Robot vision systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on

Conference_Location

Toyama

ISSN

1944-9445

Print_ISBN

978-1-4244-5081-7

Electronic_ISBN

1944-9445

Type

conf

DOI

10.1109/ROMAN.2009.5326349

Filename

5326349