Title: Real-time segmentation for baggage tracking on a cost effective embedded platform

Authors: Andrew Gilman; Martin Johnson

Addresses: Institute of Natural and Mathematical Sciences, Massey University, Auckland 0632, New Zealand ' Institute of Natural and Mathematical Sciences, Massey University, Auckland 0632, New Zealand

Abstract: This paper describes segmentation and tracking parts of a machine vision based airport baggage tracking system. A simplified codebook based background subtraction method is used to segment the bag from a semi-static background. Morphological processing using an integral image is used to filter the foreground mask and the bag location is found using statistical methods. The system was implemented on a cost effective embedded processor and runs in real time at 30 fps. Five ARM based embedded platforms are evaluated and it is shown that all of them are capable of the required performance.

Keywords: machine vision; background subtraction; image segmentation; morphological processing; airport baggage tracking; embedded platforms; airports; image processing; bag location; passenger baggage; lost luggage; airline industry; object tracking; baggage handling.

DOI: 10.1504/IJISTA.2014.068821

International Journal of Intelligent Systems Technologies and Applications, 2014 Vol.13 No.4, pp.245 - 257

Available online: 13 Apr 2015

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