Human Behavior Accumulation by Cooperation of Ceiling Sensor and Floor Sensor

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This research proposed a real-time human face and hands detection system based on image processing. The system utilizes Floor Sensor which outputs the center of gravity position of a human on it. The system consists of three subsystems; a Face and Hands Detection Unit, a Color Correction Unit and a Sensor Floor Unit. The first unit detects targets while the second unit corrects color variation under variable light condition to extract accurate color information by using Linear Model of Color Variation. The third unit (Sensor Floor Unit) outputs the position of human every 100ms. The experiments about the first unit shows the system is capable of robust detection to a variety of human posture. The experiments about the second unit shows the system obtained better robustly under variable light condition. Utilizing three units, the system was able to accumulate human behavior into a simple database. From the resultant database we were able to estimate the human behavior tendency in one room type life.