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Multi-person tracking strategies based on voxel analysis
dc.contributor.author | Canton Ferrer, Cristian |
dc.contributor.author | Salvador Marcos, Jordi |
dc.contributor.author | Casas Pla, Josep Ramon |
dc.contributor.author | Pardàs Feliu, Montse |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2010-10-06T14:11:42Z |
dc.date.available | 2010-10-06T14:11:42Z |
dc.date.created | 2008-06 |
dc.date.issued | 2008-06 |
dc.identifier.citation | Canton, C. [et al.]. Multi-person tracking strategies based on voxel analysis. "Lecture notes in computer science", Juny 2008, vol. 4625, p. 91-103. |
dc.identifier.issn | 0302-9743 |
dc.identifier.uri | http://hdl.handle.net/2117/9463 |
dc.description.abstract | This paper presents two approaches to the problem of simultaneous tracking of several people in low resolution sequences from multiple calibrated cameras. Spatial redundancy is exploited to generate a discrete 3D binary representation of the foreground objects in the scene. Color information obtained from a zenithal camera view is added to this 3D information. The first tracking approach implements heuristic association rules between blobs labelled according to spatiotemporal connectivity criteria. Association rules are based on a cost function which considers their placement and color histogram. In the second approach, a particle filtering scheme adapted to the incoming 3D discrete data is proposed. A volume likelihood function and a discrete 3D re-sampling procedure are introduced to evaluate and drive particles. Multiple targets are tracked by means of multiple particle filters and interaction among them is modeled through a 3D blocking scheme. Evaluation over the CLEAR 2007 database yields quantitative results assessing the performance of the proposed algorithm for indoor scenarios. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Signal theory (Telecommunication) |
dc.subject.lcsh | Three-dimensional |
dc.title | Multi-person tracking strategies based on voxel analysis |
dc.type | Article |
dc.subject.lemac | Senyal, Teoria del (Telecomunicació) |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1007/978-3-540-68585-2_7 |
dc.relation.publisherversion | http://dx.doi.org/10.1007/978-3-540-68585-2_7 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 780730 |
dc.description.version | Postprint (published version) |
local.citation.author | Canton, C.; Salvador, J.; Casas, J.; Pardas, M. |
local.citation.publicationName | Lecture notes in computer science |
local.citation.volume | 4625 |
local.citation.startingPage | 91 |
local.citation.endingPage | 103 |
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