DocumentCode :
1551863
Title :
Real-time high density people counter using morphological tools
Author :
Albiol, Antonio ; Mora, Inmaculada ; Naranjo, Valery
Author_Institution :
Departamento de Comunicaciones, Univ. Politecnica de Valencia, Spain
Volume :
2
Issue :
4
fYear :
2001
fDate :
12/1/2001 12:00:00 AM
Firstpage :
204
Lastpage :
218
Abstract :
Deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it is crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper
Keywords :
image segmentation; image sequences; mathematical morphology; object detection; railways; surveillance; transportation; computer vision; image sequence analysis; morphological tools; real-time high density people counter; train carriage; Algorithm design and analysis; Cameras; Costs; Counting circuits; Hardware; Image analysis; Image sequence analysis; Image sequences; Lighting; Rail transportation;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/6979.969366
Filename :
969366
Link To Document :
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