Real-time segmentation for baggage tracking on a cost effective embedded platform. (2014)

• Record Type: Journal Article
• Authors: Gilman, Andrew; Johnson, Martin
• Is Part Of: International journal of intelligent systems technologies and applications. Volume 13:Number 4(2014)
• Page Start: 245
• Page End: 257
• Publication Date: 2014
• Subjects: 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; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 006.3
• Languages: English
• ISSNs: 1740-8865

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.