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.
International Journal of Intelligent Systems Technologies and Applications, 2014 Vol.13 No.4, pp.245 - 257
Available online: 13 Apr 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article