Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15080
Title: Multi-Sensor people counting
Authors: Hernandez-Sosa, Daniel 
Castrillón-Santana, Modesto 
Lorenzo-Navarro, Javier 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: People counting
EKF
MHI
Laser sensors
Issue Date: 2011
Journal: Lecture Notes in Computer Science 
Conference: 5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 
5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011 
Abstract: An accurate estimation of the number of people entering / leaving a controlled area is an interesting capability for automatic surveil- lance systems. Potential applications where this technology can be ap- plied include those related to security, safety, energy saving or fraud control. In this paper we present a novel con guration of a multi-sensor system combining both visual and range data specially suited for trou- blesome scenarios such as public transportation. The approach applies probabilistic estimation lters on raw sensor data to create intermediate level hypothesis that are later fused using a certainty-based integration stage. Promising results have been obtained in several tests performed on a realistic test bed scenario under variable lightning conditions.
URI: http://hdl.handle.net/10553/15080
ISBN: 9783642212567
ISSN: 0302-9743
DOI: 10.1007/978-3-642-21257-4_40
Source: Iberian Conference on Pattern Recognition and Image Analysis, ibPRIA 2011. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 6669 LNCS, p. 321-328
Appears in Collections:Actas de congresos
Thumbnail
Postprint
Adobe PDF (1,9 MB)
Show full item record

SCOPUSTM   
Citations

1
checked on Jan 17, 2021

WEB OF SCIENCETM
Citations

1
checked on Jan 17, 2021

Page view(s)

52
checked on Jan 17, 2021

Download(s)

59
checked on Jan 17, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



This item is licensed under a Creative Commons License Creative Commons