Trajectory mapping for landmine detection training

Authors:
Yang Cai
Affiliations:
Human-Computer Interaction Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Year:
2003

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Abstract

A head-mounted camera is a useful tool for studying the usability of mobile devices in the field. In this paper, a computerized visualization method is presented. It includes the target trajectory mapped with the deformable template-based tracking algorithm and landmarks-based relative object registration. A landmine detection training video is used for the case study. The results show that this approach has advantages over optical flow and overhead camera methods.