DocumentCode :
2871364
Title :
Real-time high density people counter using morphological tools
Author :
Albiol, Antonio ; Naranjo, Valery ; Mora, Inmaculada
Author_Institution :
Dept. de Comunicaciones, Univ. Politecnica de Valencia, Spain
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
652
Abstract :
The paper 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 might change. The proposed system analyses image sequences and processes them using an algorithm based on the use of several morphological tools and optical flow motion estimation
Keywords :
image sequences; mathematical morphology; railways; surveillance; image sequence analysis; morphological tools; optical flow motion estimation; real-time high density people counter; Algorithm design and analysis; Cameras; Counting circuits; Image analysis; Image sequence analysis; Image sequences; Lighting; Rail transportation; Surface morphology; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903002
Filename :
903002
Link To Document :
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