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)

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5090-3549-6
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 → …

Fingerprint

Servomotors
Face recognition
Cameras
Microcontrollers
Microcomputers
Computer hardware
Classifiers
System-on-chip

Keywords

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

Cite this

Lee, Wing Jack ; Ng, Kok Yew ; Tan, Chin Luh ; Tan, Chee Pin. / Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's. Unknown Host Publication. 2017. pp. 1-6
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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.",
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Lee, WJ, Ng, KY, Tan, CL & Tan, CP 2017, Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's. in Unknown Host Publication. pp. 1-6, 2016 14th International Conference on Control, Automation, Robotics & Vision Phuket, Thailand, 2/08/16. https://doi.org/10.1109/ICARCV.2016.7838614

Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's. / Lee, Wing Jack; Ng, Kok Yew; Tan, Chin Luh; Tan, Chee Pin.

Unknown Host Publication. 2017. p. 1-6.

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

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