Localized detection of abandoned luggage

Authors:
Jing-Ying Chang;Huei-Hung Liao;Liang-Gee Chen
Affiliations:
DSP/IC Design Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan;DSP/IC Design Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan;DSP/IC Design Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Year:
2010

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Abstract

Abandoned luggage represents a potential threat to public safety. Identifying objects as luggage, identifying the owners of such objects, and identifying whether owners have left luggage behind are the three main problems requiring solution. This paper proposes two techniques which are "foreground-mask sampling" to detect luggage with arbitrary appearance and "selective tracking" to locate and to track owners based solely on looking only at the neighborhood of the luggage. Experimental results demonstrate that once an owner abandons luggage and leaves the scene, the alarmfires within few seconds. The average processing speed of the approach is 17.37 frames per second, which is sufficient for real world applications.