Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's

Wing Jack Lee, Kok Yew Ng, Chin Luh Tan, Chee Pin Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
3 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5090-3549-6
ISBN (Print)978-1-5090-3549-6, 978-1-5090-4757-4
DOIs
Publication statusPublished - 2 Feb 2017
Event2016 14th International Conference on Control, Automation, Robotics & Vision Phuket, Thailand - Phuket, Thailand
Duration: 2 Aug 2016 → …

Conference

Conference2016 14th International Conference on Control, Automation, Robotics & Vision Phuket, Thailand
Period2/08/16 → …

Keywords

  • real-time
  • face detection
  • face tracking
  • scicoslab
  • smcube
  • system-on-chip

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  • Cite this

    Lee, W. J., Ng, K. Y., Tan, C. L., & Tan, C. P. (2017). Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's. In Unknown Host Publication (pp. 1-6). IEEE. https://doi.org/10.1109/ICARCV.2016.7838614