DocumentCode
1657447
Title
Real-time baggage tracking using a modified background subtraction algorithm
Author
Johnson, Mark ; Gilman, Andrew
Author_Institution
Inst. of Natural & Math. Sci., Massey Univ., Auckland, New Zealand
fYear
2012
Firstpage
200
Lastpage
204
Abstract
This paper describes preliminary work in designing a machine vision based airport baggage tracking system. A simplified codebook based background subtraction method is used to segment the bag. 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 30fps.
Keywords
airports; bags; computer vision; embedded systems; image segmentation; object tracking; statistical analysis; travel industry; airport baggage tracking system; bag location; embedded processor; foreground mask; integral image; machine vision; modified background subtraction algorithm; morphological processing; real-time baggage tracking; simplified codebook based background subtraction method; statistical methods; Adaptation models; Image segmentation; Measurement; Object segmentation; Real-time systems; Streaming media; background subtraction; machine vision; morphological processing; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
Conference_Location
Auckland
Print_ISBN
978-1-4673-1643-9
Type
conf
Filename
6484590
Link To Document