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http://dx.doi.org/10.9766/KIMST.2020.23.3.257

ROI Image Compression Method Using Eye Tracker for a Soldier  

Chang, HyeMin (Ground Technology Research Institute, Agency for Defense Development)
Baek, JooHyun (Ground Technology Research Institute, Agency for Defense Development)
Yang, DongWon (Ground Technology Research Institute, Agency for Defense Development)
Choi, JoonSung (Ground Technology Research Institute, Agency for Defense Development)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.23, no.3, 2020 , pp. 257-266 More about this Journal
Abstract
It is very important to share tactical information such as video, images, and text messages among soldiers for situational awareness. Under the wireless environment of the battlefield, the available bandwidth varies dynamically and is insufficient to transmit high quality images, so it is necessary to minimize the distortion of the area of interests such as targets. A natural operating method for soldiers is also required considering the difficulty in handling while moving. In this paper, we propose a natural ROI(region of interest) setting and image compression method for effective image sharing among soldiers. We verify the proposed method through prototype system design and implementation of eye gaze detection and ROI-based image compression.
Keywords
ROI Image Compression; Future Soldier; Head Mounted Display; Natural User Interface; Wearable System;
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