José María
Armingol Moreno
Publicacions en què col·labora amb José María Armingol Moreno (13)
2022
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Hierarchical generator of tracking global hypotheses
Expert Systems with Applications, Vol. 206
2021
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Back-propagation of the Mahalanobis istance through a deep triplet learning model for person Re-Identification
Integrated Computer-Aided Engineering, Vol. 28, Núm. 3, pp. 277-294
2020
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Deep learning of appearance affinity for multi-object tracking and re-identification: A comparative view
Electronics (Switzerland), Vol. 9, Núm. 11, pp. 1-29
2019
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An appearance-based tracking algorithm for aerial search and rescue purposes
Sensors (Switzerland), Vol. 19, Núm. 3
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Balancing people re-identification data for deep parts similarity learning
Journal of Imaging Science and Technology, Vol. 63, Núm. 2
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Transferring learning from multi-person tracking to person re-identification
Integrated Computer-Aided Engineering, Vol. 26, Núm. 4, pp. 329-344
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Triplet permutation method for deep learning of single-shot person re-identification
IET Conference Publications
2018
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Deep parts similarity learning for person Re-Identification
VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Re-identificación de personas mediante la distancia de Mahalanobis
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
2017
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Deep part features learning by a normalised double-margin-based contrastive loss function for person re-identification
VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
2016
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Autocalibración de parámetros extrínsecos de sistemas estéreo para aplicaciones de tráfico
Actas de las XXXVII Jornadas de Automática: Madrid. 7, 8 y 9 de septiembre de 2016
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Multi-Object Tracking with Data Association by a Similarity Identification Model
IET Seminar Digest
2015
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Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion
Expert Systems with Applications, Vol. 42, Núm. 21, pp. 8156-8171