A gaze estimation approach for intelligent viewing in tele-operation

Audrija Mukherjee, J. K. Mukherjee
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Abstract

Human like viewing is a major challenge in intelligent remote scenario viewing in tele-robotic applications of mobile as well as fixed frame slaves that are interactively controlled in `man in loop' type control. The control being mainly based on console-views available to the operator, the HMI system must understand what the operator wants to look at. The presented work, attempts at developing a method for guessing operator interest zone in remote workspace area by understanding operator's reaction to `console-view'. The approach establishes a linkage for the remote camera control to subtle operator head movement in reaction to console view. The natural operator reaction is interpreted by our gaze estimator through rapidly extracted image clues.
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一种远程操作智能观看的注视估计方法
类人观看是智能远程场景观看的主要挑战,在移动远程机器人应用中,以及在“人在环”式控制中交互控制的固定帧从机。由于控制主要基于操作人员可用的控制台视图,因此HMI系统必须了解操作人员想要查看的内容。所提出的工作,试图通过了解操作员对“控制台视图”的反应,开发一种方法来猜测操作员在远程工作区域的兴趣区域。该方法为远程摄像机控制建立了一个链接,以响应控制台视图的细微操作员头部运动。我们的注视估计器通过快速提取图像线索来解释算子的自然反应。
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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