This paper proposes an approach to abandoned luggage detection that mimics human behavior in monitoring a scene: first the abandoned luggage is detected through a foreground-mask sampling; then people nearby the detected object are tracked to eventually associate the left object with its possessor; ultimately, MAP principle is applied to perform reasoning.
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