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Proceedings Paper

Detection of unusual trajectories using multi-objective evolutionary algorithms and rough sets
Author(s): Tomasz G. Smolinski; Trevor Newell; Samantha McDaniel; David Pokrajac
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Paper Abstract

Detection of unusual trajectories of moving objects (e.g., people, automobiles, etc.) is an important problem in many civilian and military surveillance applications. In this work, we propose a multi-objective evolutionary algorithms and rough sets-based approach that breaks down 2-dimensional trajectories into a set of additive components, which then can be used to build a classifier capable of recognizing typical, but yet unseen trajectories, and identifying those that seem suspicious.

Paper Details

Date Published: 30 September 2013
PDF: 12 pages
Proc. SPIE 8857, Signal and Data Processing of Small Targets 2013, 88570F (30 September 2013); doi: 10.1117/12.2024580
Show Author Affiliations
Tomasz G. Smolinski, Delaware State Univ. (United States)
Trevor Newell, Delaware State Univ. (United States)
Samantha McDaniel, Delaware State Univ. (United States)
David Pokrajac, Delaware State Univ. (United States)


Published in SPIE Proceedings Vol. 8857:
Signal and Data Processing of Small Targets 2013
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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