Towards Detection of Suspicious Behavior from Multiple Observations

Citation:

Bostjan Kaluza, Gal Kaminka, and Milind Tambe. 2011. “Towards Detection of Suspicious Behavior from Multiple Observations .” In PAIR 2011: AAAI Workshop on Plan, Activity, and Intent Recognition.

Abstract:

This paper addresses the problem of detecting suspicious behavior from a collection of individuals events, where no single event is enough to decide whether his/her behavior is suspicious, but the combination of multiple events enables reasoning. We establish a Bayesian framework for evaluating multiple events and show that the current approaches lack modeling behavior history included in the estimation whether a trace of events is generated by a suspicious agent. We propose a heuristic for evaluating events according to the behavior of the agent in the past. The proposed approach, tested on an airport domain, outperforms the current approaches.
See also: 2011