The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 52-364
Full Name: Eko Supriyanto
Position: Associate Professor
Age: ON
Sex: Male
Address: P04-308, Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Johor Darul Takzim, Malaysia
Country: MALAYSIA
Tel: 07-553 5430
Tel prefix: +60
Fax:
E-mail address: eko.supriyanto@gmail.com
Other E-mails: edmundmeng@hotmail.com
Title of the Paper: Facial based Fuzzy Tracking Camera Motion Control System
Authors as they appear in the Paper: Eko Supriyanto, Yeo Kee Jiar, Tan Yong Oon, Tan Meng Kuan
Email addresses of all the authors: eko.supriyanto@gmail.com, kjyeo_utm@yahoo.com, yotan929@hotmail.com, edmundmeng@hotmail.com
Number of paper pages: 10
Abstract: Camera motion control system is important in security, surveillance and human movement monitoring whereby it can be applied in bank, office, immigration point, children nursery, hospital and physical training center. The existing system such as placement of multiple security cameras which increased in cost, single security camera with only horizontal motion which provide limited coverage area and non-automation in human tracking. This makes the system not really adaptable in public. In order to enable the low cost online camera motion control system with acceptable video quality, a novel smart Facial based Fuzzy Tracking Camera Motion Control System has been developed. Physical structural of the system consists of a webcam, 2-D servo motor, microcontroller and computer. In this project, we applied Haar-Like feature face detection and Camshift tracking algorithm, while the fuzzy logic is used as the main controller for 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 35 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.
Keywords: Fuzzy Logic, Face Tracking, Face Detection, OpenCV, Camera Motion
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 60.50.204.165
