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Tiny Frontal Face Detection for Robots
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- Authors
- Do Hyung Kim, Woo-Han Yun, Jae Yeon Lee
- Issue Date
- 2010-08
- Citation
- International Conference on Human-Centric Computing (HumanCom) 2010, pp.1-4
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper proposes a novel face detection method that finds tiny faces located at a long range even with low-resolution input images captured by a moving robot. The proposed approach can locate extremely small-sized face regions of 12×12 pixels by combining the results from mean-shift color tracking, short- and long-range face detection, and omega shape detection. According to the experimental results on realistic databases, the performance of the proposed approach is at a sufficiently practical level for various robot applications. © 2010 IEEE.
- KSP Keywords
- Color Tracking, Detection Method, Frontal face detection, Long range, Mean-shift(MS), Moving robot, Omega shape, Robot applications, Shape detection, Short-, Small-sized