Universiti Teknologi Malaysia Institutional Repository

Facial tracking based camera motion control system

Supriyanto, Eko (2010) Facial tracking based camera motion control system. In: Proceedings of the 9th WSEAS International Conference on Telecommunications and Informatics, April 2010., 29-31 May 2010, Catania, Italy.

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Abstract

Camera Motion Control System is required in security and human movement monitoring. This can be applied in bank, office, immigration point, children nursery, hospital and physical training center. The existing system is however using some cameras or single camera with only horizontal motion. Moreover, it is high cost and cannot be implemented for low cost usage. In order to enable the low cost online camera motion system with acceptable video quality. A novel smart facial tracking base camera motion control system has been developed. The system consists of webcam, 2-D servo motor, microcontroller and computer. We applied Haar-Like feature and Camshift for tracking algorithm for face detection and fuzzy logic to control the motion of camera. Mircrosoft Visual C-Sharp and Intel open source library OpenCV are used to implement the algorithm for face detection and motion control. Test result shows the system is able to capture the video with horizontal rotation angle -75 to 75 degree and vertical rotation angle -35 to 35 degree with maximum rotation speed 45 degree per second for both rotations. This enables implementation of low-cost smart doll head movement system, to monitor and capture special children video during gross motor assessment and training.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:fuzzy logic, face tracking, face detection, OpenCV, camera motion
Subjects:Unspecified
Divisions:?? FBSK ??
ID Code:23975
Deposited By: Liza Porijo
Deposited On:27 Sep 2012 03:10
Last Modified:27 Sep 2012 03:10

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