Applications of Human Motion Tracking: Smart Lighting Control

Applications of Human Motion Tracking: Smart Lighting Control
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人体运动追踪的应用:智能照明控制

DOI:
10.1109/cvprw.2013.65
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发表时间:
2013
期刊:
2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops
影响因子:
--
通讯作者:
Chan
Chan
中科院分区:
--
文献类型:
--
作者:
S. Chun;Chan

文献摘要

被引文献

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提出了一种基于人体运动跟踪的智能照明控制系统。适当的照明和色温取决于人类活动。提供照明照度和色温自动控制的智能照明系统需要跟踪人体运动并了解人体活动。红外和热光谱提供了有用的信息鲁棒的照明条件。深度信息可以独立于照明条件来获取,并且相对容易独立于他们的衣服和肤色来检测人。商业深度相机或热成像相机用于精确跟踪和估计人类行为。活动模式可以使用来自深度相机和来自热成像相机的人体运动跟踪结果来估计。使用多个深度相机来检测大区域中的人类主体运动。对学习模式和看电视模式等活动模式进行估计,并根据估计的活动对LED照明系统的照度和色温进行真实的控制。
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.