Aerial Border Surveillance for Search and Rescue Missions Using Eye Tracking Techniques

Abstract

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.