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

doi:10.1109/ICARCV.2016.7838614

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

Malaysia School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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.

Original language	English
Title of host publication	2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016)
Editors	Gang Wang
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	84-89
Number of pages	6
ISBN (Electronic)	9781509035496
ISBN (Print)	9781509035502
DOIs	https://doi.org/10.1109/ICARCV.2016.7838614
Publication status	Published - 2016
Event	International Conference on Control, Automation, Robotics and Vision 2016 - Phuket, Thailand Duration: 13 Nov 2016 → 15 Nov 2016 Conference number: 14th http://icarcv.org/2016/home.asp https://ieeexplore.ieee.org/xpl/conhome/7823366/proceeding (Proceedings)

Conference

Conference	International Conference on Control, Automation, Robotics and Vision 2016
Abbreviated title	ICARCV 2016
Country/Territory	Thailand
City	Phuket
Period	13/11/16 → 15/11/16
Internet address	http://icarcv.org/2016/home.asp https://ieeexplore.ieee.org/xpl/conhome/7823366/proceeding (Proceedings)

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10.1109/ICARCV.2016.7838614

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@inproceedings{00dcc5d3505c4337a7fc95df4ed3084a,

title = "Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's",

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.",

author = "Lee, \{Wing Jack\} and Ng, \{Kok Yew\} and Tan, \{Chin Luh\} and Tan, \{Chee Pin\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; International Conference on Control, Automation, Robotics and Vision 2016, ICARCV 2016 ; Conference date: 13-11-2016 Through 15-11-2016",

year = "2016",

doi = "10.1109/ICARCV.2016.7838614",

language = "English",

isbn = "9781509035502",

pages = "84--89",

editor = "Gang Wang",

booktitle = "2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "http://icarcv.org/2016/home.asp, https://ieeexplore.ieee.org/xpl/conhome/7823366/proceeding",

}

Lee, WJ, Ng, KY, Tan, CL & Tan, CP 2016, Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's. in G Wang (ed.), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 84-89, International Conference on Control, Automation, Robotics and Vision 2016, Phuket, Thailand, 13/11/16. 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 et al.
2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016). ed. / Gang Wang. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 84-89.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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T1 - Real-time face detection and motorized tracking using ScicosLab and SMCube on SoC's

AU - Lee, Wing Jack

AU - Ng, Kok Yew

AU - Tan, Chin Luh

AU - Tan, Chee Pin

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N2 - 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.

AB - 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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SN - 9781509035502

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EP - 89

BT - 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016)

A2 - Wang, Gang

PB - IEEE, Institute of Electrical and Electronics Engineers

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T2 - International Conference on Control, Automation, Robotics and Vision 2016

Y2 - 13 November 2016 through 15 November 2016

ER -

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

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