Abandoned luggage detection using a finite state automaton in surveillance video

Sooyeong Kwak; Guntae Bae; Hyeran Byun

doi:10.1117/1.3321760

1 February 2010 Abandoned luggage detection using a finite state automaton in surveillance video

Sooyeong Kwak, Guntae Bae, Hyeran Byun

Author Affiliations +

Optical Engineering, Vol. 49, Issue 2, 027007 (February 2010). https://doi.org/10.1117/1.3321760

Abstract

We present an abandoned luggage detection architecture that consists of an intelligent surveillance system for public places. Detection of abandoned luggage is necessary because unattended or abandoned luggage can be used as a means of terrorist attack, especially for bombs. Our proposed system relies on three modules: moving object detection, object tracking and classification, and event recognition. We focus on abandoned luggage detection. To recognize an abandoned luggage event, we constructed the finite state automaton (FSA), in which each FSA state represents a certain luggage status. The proposed algorithm shows good performance in a real-world environment and also works at real-time speed.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Sooyeong Kwak, Guntae Bae, and Hyeran Byun "Abandoned luggage detection using a finite state automaton in surveillance video," Optical Engineering 49(2), 027007 (1 February 2010). https://doi.org/10.1117/1.3321760

Published: 1 February 2010

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