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
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;
Conference_Titel :
Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-1643-9
