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Face Tracking Method based on Neural Oscillatory Network Using Color Information  

Hwang, Yong-Won (Cognitive Robotics Center, Korea Institute of Science Technology)
Oh, Sang-Rok (Cognitive Robotics Center, Korea Institute of Science Technology)
You, Bum-Jae (Cognitive Robotics Center, Korea Institute of Science Technology)
Lee, Ji-Yong (Cognitive Robotics Center, Korea Institute of Science Technology)
Park, Mig-Non (Department of Electronic Engineering, Yonsei University)
Jeong, Mun-Ho (Department of Information and Control Engineering, KwangWoon University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.48, no.2, 2011 , pp. 40-46 More about this Journal
Abstract
This paper proposes a real-time face detection and tracking system that uses neural oscillators which can be applied to access regulation system or control systems of user authentication as well as a new algorithm. We study a way to track faces using the neural oscillatory network which imitates the artificial neural net of information handing ability of human and animals, and biological movement characteristic of a singular neuron. The system that is suggested in this paper can broadly be broken into two stages of process. The first stage is the process of face extraction, which involves the acquisition of real-time RGB24bit color video delivering with the use of a cheap webcam. LEGION(Locally Excitatory Globally Inhibitory)algorithm is suggested as the face extraction method to be preceded for face tracking. The second stage is a method for face tracking by discovering the leader neuron that has the greatest connection strength amongst neighbor neuron of extracted face area. Along with the suggested method, the necessary element of face track such as stability as well as scale problem can be resolved.
Keywords
Face tracking; skin color detection; oscillatory correlation; LEGION;
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