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首页> 外文会议>IEEE 10th International Conference on Ubiquitous Intelligence and Computing; IEEE 10th International Conference on Autonomic and Trusted Computing >Human Sensing Using Computer Vision for Personalized Smart Spaces
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Human Sensing Using Computer Vision for Personalized Smart Spaces

机译：使用计算机视觉实现个性化智能空间的人感

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摘要

Smart spaces are everyday environments augmented with computing technologies that enhance human experience and activity performance. Continuous recognition of the presence of people, their identity, location, movement and activity patterns in real-time is a key challenge to address if smart spaces are to be envisioned as personalized and adaptive spaces. This paper introduces the multiple technologies available for human sensing and identification, discussing their advantages and disadvantages. In particular, Kitchen As-A-Pal is described as a smart space with real-time human sensing capabilities using computer vision by fusing fisher face recognition and skeletal tracking approaches. A wall-mounted Kinect is used for both single occupant and multi-occupant settings in kitchen As-A-Pal. The fused approach gives human identity recognition accuracy of 91.75% precision and 66% recall values for single occupant setting with good smart space coverage. Challenges do exist for human identity recognition in multi-occupant settings.
机译：智能空间是日常环境，其中添加了可增强人类体验和活动表现的计算技术。如果要把智能空间设想为个性化和适应性空间，则要实时应对人们的存在，他们的身份，位置，运动和活动模式的持续不断的识别是一项关键挑战。本文介绍了可用于人类感知和识别的多种技术，并讨论了它们的优缺点。特别是，将Kitchen As-A-Pal形容为融合了费舍尔人脸识别和骨骼跟踪方法，使用计算机视觉的具有实时人类感应功能的智能空间。壁挂式Kinect用于As-A-Pal厨房中的单人和多人环境。对于具有良好智能空间覆盖范围的单人环境，融合方法可提供91.75％的精确度和66％的召回率，从而实现了人类身份识别精度。多人环境中的人类身份识别确实存在挑战。

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