Search
Abstract
A concept and a practical implementation of the algorithm for detecting of potentially dangerous situations related to crowding in passages is presented. An example of such a situation is a crush which may be caused by an obstructed pedestrian pathway. The surveillance video camera signal analysis performed in the online mode is employed in order to detect hold-ups near bottlenecks like doorways or staircases. The details of the implemented algorithm which uses the optical flow method combined with fuzzy logic are explained. The experiments were carried out on a set of gathered video recordings from the surveillance camera installed in the campus of Gdansk University of Technology. The results of experiments performed on gathered video recordings shows high efficiency of the algorithm.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (2)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-38559-9_20
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
MULTIMEDIA TOOLS AND APPLICATIONS
no. 75,
edition 17,
pages 1 - 11,
ISSN: 1380-7501 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Szczodrak M., Czyżewski A.: Video analytics-based algorithm for monitoring egress from buildings// MULTIMEDIA TOOLS AND APPLICATIONS. -Vol. 75, iss. 17 (2016), s.1-11
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-642-38559-9_20
- Verified by:
- Gdańsk University of Technology
seen 122 times