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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: | Conference proceedings |
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