Unsupervised Framework for People Counting Using a Stereo-based Camera

Simple item page
dc.contributor.authorNegrillo, Joséen_US
dc.contributor.authorFeito, Francisco R.en_US
dc.contributor.authorSegura, Rafael J.en_US
dc.contributor.authorOgayar, Carlos Javieren_US
dc.contributor.authorFuertes, José Manuelen_US
dc.contributor.authorLucena, Manuelen_US
dc.contributor.editorFco. Javier Melero and Nuria Pelechanoen_US
dc.date.accessioned2017-06-26T16:32:48Z
dc.date.available2017-06-26T16:32:48Z
dc.date.issued2017
dc.description.abstractThe counting of people in a room or a building is a desirable feature in a Smart City environment. There are several hardware systems that simplify this process. However, those systems tend to be very intrusive. This paper proposes a framework for counting people using an efficient and multi-platform computer vision based system. This system is easily deployable in crowded places by using affordable components.en_US
dc.description.sectionheadersObject Recognition
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)
dc.identifier.doi10.2312/ceig.20171205
dc.identifier.isbn978-3-03868-046-8
dc.identifier.issn-
dc.identifier.pages27-30
dc.identifier.urihttps://doi.org/10.2312/ceig.20171205
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/ceig20171205
dc.publisherThe Eurographics Associationen_US
dc.titleUnsupervised Framework for People Counting Using a Stereo-based Cameraen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
027-030.pdf
Size:
250.34 KB
Format:
Adobe Portable Document Format
Download
Collections
CEIG17