A density-based approach for effective pedestrian counting at bus stops

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dc.contributor.authorGarcí­a Bunster, Guillermo
dc.contributor.authorTorres Torriti, Miguel Attilio
dc.date.accessioned2022-05-16T13:00:25Z
dc.date.available2022-05-16T13:00:25Z
dc.date.issued2009
dc.description.abstractAccurately counting people waiting at bus stops is essential for automated bus fleet scheduling and dispatch. Estimating the passenger demand in regular open bus stops is a nontrivial problem because of the varying conditions, such as illumination, crowdedness, people poses, to name a few. This paper presents a simple, but very effective approach to estimate the passenger count using people density estimates. People density is obtained from foreground segmentation using a Gaussian mixture background model. A linear model, which is employed to correct the densities due to perspective scaling for people far from the camera position, yields the final people count estimates. The approach is compared to the well-know Viola-Jones detector and shown to yield better people count estimates despite its simplicity, because it is more robust to occlusions, pose changes, and due to the fact that it does not attempt to find body parts. The proposed method is general and can be employed to count people in other public spaces, such as buildings.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/ICSMC.2009.5346178
dc.identifier.isbn9781424427932
dc.identifier.issn1062-922X
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5346178
dc.identifier.urihttps://doi.org/10.1109/ICSMC.2009.5346178
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63914
dc.information.autorucEscuela de ingeniería ; García Bunster, Guillermo ; S/I ; 141068
dc.information.autorucEscuela de ingeniaería ; Torres Torriti, Miguel Attilio ; S/I ; 96590
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final3439
dc.pagina.inicio3434
dc.publisherIEEE
dc.relation.ispartofIEEE International Conference on Systems, Man and Cybernetics (2009 : San Antonio, Estados Unidos)
dc.rightsacceso restringido
dc.subjectImage edge detection
dc.subjectObject detection
dc.subjectFace detection
dc.subjectLighting
dc.subjectCameras
dc.subjectYield estimation
dc.subjectDetectors
dc.subjectSpace technology
dc.subjectCybernetics
dc.subjectUSA Councils
dc.titleA density-based approach for effective pedestrian counting at bus stopses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados141068
sipa.codpersvinculados96590
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