Aerial Border Surveillance for Search and Rescue Missions Using Eye Tracking Techniques
Aerial Border Surveillance for Search and Rescue Missions Using Eye Tracking Techniques
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DOI：
10.1109/ths.2018.8574165
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发表时间：
2018-10
期刊：
影响因子：
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通讯作者：
Qianwen Wan;Aleksandra Kaszowska;A. Samani;K. Panetta;H. Taylor;S. Agaian
中科院分区：
文献类型：
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作者：
Qianwen Wan;Aleksandra Kaszowska;A. Samani;K. Panetta;H. Taylor;S. Agaian
空中边界监视是一项至关重要的活动，它可以确保国家边界的安全，并有助于搜索和救援任务。本文提出了一种新颖的“免提”工具，用于空中边境监视，搜索和救援任务，使用头戴式眼动跟踪技术。本研究的贡献在于：i）一个基于凝视的空中边界监视目标分类和识别框架; ii）在非扫描区域中的实时目标检测和识别系统; iii）研究由移动的眼动跟踪器提供的扫描路径（固定和非扫描）可以帮助改进训练专业搜索和救援组织甚至人工智能机器人用于搜索和救援任务。所提出的系统架构进一步证明了使用大规模的现实生活中的头戴式眼动跟踪数据的数据集。
Aerial border surveillance is a crucial activity, which can assure the security of the country boarder and aid in search and rescue missions. This paper offers a novel “hands-free” tool for aerial border surveillance, search and rescue missions using head-mounted eye tracking technology. The contributions of this work are: i) a gaze based aerial boarder surveillance object classification and recognition framework; ii) real-time object detection and identification system in non-scanned regions; iii) investigating the scan-path (fixation and non-scanned) provided by mobile eye tracker can help improve training professional search and rescue organizations or even artificial intelligence robots for searching and rescuing missions. The proposed system architecture is further demonstrated using a dataset of large-scale real-life head-mounted eye tracking data.