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Erschienen in:
2011 | OriginalPaper | Buchkapitel
An Eye Detection and Localization System for Natural Human and Robot Interaction without Face Detection
verfasst von : Xinguo Yu, Weicheng Han, Liyuan Li, Ji Yu Shi, Gang Wang
Erschienen in: Towards Autonomous Robotic Systems
Verlag: Springer Berlin Heidelberg
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There were many eye localization algorithms
depending on face detection
in the literature. Differently this paper presents a novel eye detection and localization system
not depending on face detection
for natural human and robot interaction using both stereo and visual cameras. To build a robust system we use stereo and visual cameras in synergy. The stereo camera is used to localize the head of the person to replace face detection. Then our eye identification algorithm detects and localizes two eyes inside head box. In eye detection step, our algorithm uses a HOG-moment (H
istogram
O
f
G
radient
) feature to detect two eyes inside the head box. In eye localization step, we employ an iterative procedure to search the best location for eye pair. The experimental results show that the proposed eye detection and localization algorithm, not depending on face detection, has a similar robustness as the existing eye localization algorithms.