Applications of Human Motion Tracking: Smart Lighting Control

Sung Yong Chun, Chan-Su Lee; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2013, pp. 387-392

This paper presents a smart lighting control system based on human motion tracking. Proper illumination and color temperature depend on human activities. A smart lighting system that provides automatic control of lighting illumination and color temperature needs to track human motion and understand human activities. Infrared and thermal spectrum provides useful information robust to the lighting condition. Depth information can be acquired independently of the lighting condition and it is relatively easy to detect humans independent of their clothing, and skin color. Commercial depth cameras or thermal cameras were used for accurate tracking and for estimating human behavior. The activity modes can be estimated using the human motion tracking results from depth cameras and from thermal cameras. Multiple depth cameras were used to detect human subject motion in a large area. The activity modes such as study mode and watching TV mode were estimated and the illumination and color temperature of the LED lighting system were controlled in real time according to the estimated activity.