Title :
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
fDate :
Sept. 27 2009-Oct. 2 2009
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;
Conference_Titel :
Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on
Conference_Location :
Toyama
Print_ISBN :
978-1-4244-5081-7
Electronic_ISBN :
1944-9445
DOI :
10.1109/ROMAN.2009.5326349
