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Real-Time Face Detection And Motorized Tracking Using ScicosLab and SMCube On SoCs
Monash University of Malaysia, Malaysia.
Linköping University, Department of Electrical Engineering. Monash University of Malaysia, Malaysia.
Monash University of Malaysia, Malaysia; Trity Technology, Malaysia.
Monash University of Malaysia, Malaysia; Trity Technology, Malaysia.
2016 (English)In: 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), IEEE, 2016, UNSP Su23.3Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for real-time detection and tracking of the human face. This is achieved using the Raspberry Pi microcomputer and the Easylab microcontroller as the main hardware with a camera mounted on servomotors for continuous image feed-in. Real-time face detection is performed using Haar-feature classifiers and ScicosLab in the Raspberry Pi. Then, the Easylab is responsible for face tracking, keeping the face in the middle of the frame through a pair of servomotors that control the horizontal and vertical movements of the camera. The servomotors are in turn controlled based on the state-diagrams designed using SMCube in the EasyLab. The methodology is verified via practical experimentation.

Place, publisher, year, edition, pages
IEEE, 2016. UNSP Su23.3
Series
International Conference on Control Automation Robotics and Vision, ISSN 2474-2953
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-139677DOI: 10.1109/ICARCV.2016.7838614ISI: 000405520900015Scopus ID: 2-s2.0-85015206136ISBN: 978-1-5090-3549-6 (electronic)ISBN: 978-1-5090-4757-4 (electronic)ISBN: 978-1-5090-3550-2 (print)OAI: oai:DiVA.org:liu-139677DiVA: diva2:1130459
Conference
14th International Conference on Control, Automation, Robotics and Vision (ICARCV), Phuket, Thailand, November 13–15, 2016
Available from: 2017-08-09 Created: 2017-08-09 Last updated: 2017-08-31Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • nn-NO
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Output format
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