A human orientation tracking system using Template Matching and active Infrared marker

Mark Tee Kit Tsun, B. Lau, H. S. Jo, Sian Lun Lau
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引用次数: 11

Abstract

Human tracking research has been reinforced with the introduction of vision-based motion tracking sensors such as Microsoft Kinect and Intel RealSense since 2009. No longer limited to just wearable sensors, embedded environments and 2D camera feed, stereoscopic digital cameras and Infrared imaging has enabled perceivable depth and distance to contribute to geo-location, activity tracking, and automated detection of abnormal events. However, current motion tracking systems have a limited zone of detection and tracking, subjected to environmental lighting, lens occlusion and hardware factors. This study proposes and demonstrates the possibility of complementing these existing sensors with a simple human tracking system that can be used to direct their reorientation in order to maintain the tracked person within their optimal zone of detection. The prototype in this study utilizes an Infrared Camera and an active Infrared marker to track the pan orientation of a person by means of Template Matching - finding a template image match that indicates the angle of marker pan. By knowing the target's angle of pan, a Microsoft Kinect sensor can be autonomously relocated to the front of the person via the shortest path around. This implementation may also be retooled for other systems that have a smaller zone of detection.
基于模板匹配和主动红外标记的人体定位跟踪系统
自2009年以来,随着微软Kinect和英特尔RealSense等基于视觉的运动跟踪传感器的引入,人体跟踪研究得到了加强。不再局限于可穿戴传感器、嵌入式环境和2D摄像头馈送,立体数码相机和红外成像使可感知的深度和距离有助于地理定位、活动跟踪和异常事件的自动检测。然而,当前的运动跟踪系统受环境光照、镜头遮挡和硬件因素的影响,检测和跟踪区域有限。这项研究提出并证明了用一个简单的人体跟踪系统来补充这些现有传感器的可能性,该系统可用于指导它们重新定向,以便将被跟踪的人保持在其最佳检测区域内。本研究的原型利用红外摄像机和主动红外标记来跟踪人的平移方向,通过模板匹配-找到一个模板图像匹配,表示标记平移的角度。通过了解目标的平移角度,微软Kinect传感器可以通过最短路径自动重新定位到人的前面。这种实现也可以用于具有较小检测区域的其他系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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