Plan Recognition of Movement

Authors:
David N. Chin;Dong-Wan Kang;Curtis Ikehara
Affiliations:
University of Hawaii Dept. of Information & Computer Sciences, Honolulu, USA HI 96822;University of Hawaii Dept. of Information & Computer Sciences, Honolulu, USA HI 96822;University of Hawaii Dept. of Information & Computer Sciences, Honolulu, USA HI 96822
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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Abstract

Plan recognition of movement by car or foot is generally intractable because of the huge number of potential destinations and routes. However in restricted areas with limited ingress/egress and few places to go such as a military base, plan recognition of movement can be done. The ABM system uses RFID and Lidar to track the movement of vehicles and people, infer their plans/goals, and distinguish threat from normal behavior. ABM represents plans as a series of polygons that abstract important road/terrain features such as intersections and driveways. ABM's keyhole plan recognition algorithm handles unobserved steps caused by insufficient data rates or deficient sensor coverage and handles position inaccuracies due to limited sensor precision or multi-path reflections from buildings. ABM guards privacy by storing only a person's role (e.g., visitor, office worker, grounds keeper) on the military base.