Paper
2 May 2006 Face feature processor on mobile service robot
Ho Seok Ahn, Myoung Soo Park, Jin Hee Na, Jin Young Choi
Author Affiliations +
Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60423I (2006) https://doi.org/10.1117/12.664707
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China
Abstract
In recent years, many mobile service robots have been developed. These robots are different from industrial robots. Service robots were confronted to unexpected changes in the human environment. So many capabilities were needed to service mobile robot, for example, the capability to recognize people's face and voice, the capability to understand people's conversation, and the capability to express the robot's thinking etc. This research considered face detection, face tracking and face recognition from continuous camera image. For face detection module, it used CBCH algorithm using openCV library from Intel Corporation. For face tracking module, it used the fuzzy controller to control the pan-tilt camera movement smoothly with face detection result. A PCA-FX, which adds class information to PCA, was used for face recognition module. These three procedures were called face feature processor, which were implemented on mobile service robot OMR to verify.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ho Seok Ahn, Myoung Soo Park, Jin Hee Na, and Jin Young Choi "Face feature processor on mobile service robot", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60423I (2 May 2006); https://doi.org/10.1117/12.664707
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Facial recognition systems

Cameras

Control systems

Detection and tracking algorithms

Fuzzy logic

Mobile robots

Principal component analysis

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