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Multiple object tracking using RNNs
dc.contributor | Alquézar Mancho, René |
dc.contributor | Brox, Thomas |
dc.contributor | Belagiannis, Vasileios |
dc.contributor.author | Amin, Khizer |
dc.date.accessioned | 2018-06-22T09:19:35Z |
dc.date.available | 2018-06-22T09:19:35Z |
dc.date.issued | 2017-12 |
dc.identifier.uri | http://hdl.handle.net/2117/118345 |
dc.description.abstract | Tracking multiple objects simultaneously from a single camera is popular in surveillance systems. The standard methodology to address the problem is decomposing it in the object appearance modeling, object detection/tracking and data association. The majority of the related work focuses on improving |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Artificial intelligence |
dc.subject.lcsh | Neural networks (Computer science) |
dc.subject.other | RNN |
dc.subject.other | MOT |
dc.subject.other | Tracking |
dc.title | Multiple object tracking using RNNs |
dc.title.alternative | Multiple Object 3D Position Tracking Using (RMM's) |
dc.type | Master thesis |
dc.subject.lemac | Intel·ligència artificial |
dc.subject.lemac | Xarxes neuronals (Informàtica) |
dc.identifier.slug | 130162 |
dc.rights.access | Open Access |
dc.date.updated | 2018-02-28T11:00:45Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2012) |