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SpikeBALL: Neuromorphic Dataset for Object Tracking

dc.contributor.authorGuerrero Vázquez, Elisa 
dc.contributor.authorQuintana Velázquez, Fernando Manuel 
dc.contributor.authorGuerrero Lebrero, María de la Paz 
dc.contributor.otherIngeniería Informáticaes_ES
dc.date.accessioned2024-09-04T11:06:19Z
dc.date.available2024-09-04T11:06:19Z
dc.date.issued2023
dc.identifier.isbn9783031430770
dc.identifier.urihttp://hdl.handle.net/10498/33156
dc.description.abstractMost of widely used datasets are not suitable for Spiking Neural Networks (SNNs) due to the need to encode the static data into spike trains and then put them into the network. In addition, the majority of these datasets have been generated to classify objects and can not be used to solve object tracking problems. Therefore, we propose a new neuromorphic dataset, SpikeBALL, for object tracking that contributes to improve the development of the SNN algorithm for these type of problems.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherIgnacio Rojas, Gonzalo Joya, Andreu Cataláes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceGuerrero-Lebrero, M.P., Quintana, F.M., Guerrero, E. (2023). SpikeBALL: Neuromorphic Dataset for Object Tracking. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2023. Lecture Notes in Computer Science, vol 14135. Springer, Cham.es_ES
dc.subjectspiking neural networkses_ES
dc.subjectevent camerases_ES
dc.subjectobject tracking,es_ES
dc.subjectevent-based datasetes_ES
dc.titleSpikeBALL: Neuromorphic Dataset for Object Trackinges_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/978-3-031-43078-7_52
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109465RB-I00/ES/SISTEMAS NEUROMORFICOS PARA VISION ARTIFICIAL/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement///FPU18%2F04321 es_ES
dc.type.hasVersionAMes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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