Listar LSI_Articles por autoría "abd86b3d-e95c-4991-80df-ed61196e812c"
Mostrando ítems 1-6 de 6
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ATM-based analysis and recognition of handball team activities
Montoliu Colás, Raul; Martín Félez, Raúl; Torres-Sospedra, Joaquín; Rodríguez Pérez, Sergio Elsevier (2015)In this paper, a new methodology based on the Author Topic Model (ATM) method is presented to perform team activity recognition and analysis in handball videos. Instead of using players׳ trajectories we just rely on low ... -
Gait recognition from corrupted silhouettes: a robust statistical approach
Ortells Lorenzo, Javier; Mollineda, Ramón A.; Mederos, Boris; Martín Félez, Raúl Springer Verlag (2016-07)This paper introduces a method based on robust statistics to build reliable gait signatures from averaging silhouette descriptions, mainly when gait sequences are affected by severe and persistent defects. The term robust ... -
Human recognition based on gait poses
Martín Félez, Raúl; Mollineda, Ramón A.; Sánchez Garreta, Josep Salvador Springer (2011)This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for eachpose. Pose-based ... -
Melodic track identification in MIDI files considering the imbalanced context
Martín Félez, Raúl; Mollineda, Ramón A.; García, Vicente Springer Verlag (Germany) (2009)In this paper, the problem of identifying the melodic track of a MIDI file in imbalanced scenarios is addressed. A polyphonic MIDI file is a digital score that consists of a set of tracks where usually only one of them ... -
On the suitability of combining feature selection and resampling to manage data complexity
Martín Félez, Raúl; Mollineda, Ramón A. Springer Verlag (2010)The effectiveness of a learning task depends on data com- plexity (class overlap, class imbalance, irrelevant features, etc.). When more than one complexity factor appears, two or more preprocessing techniques should be ... -
Uncooperative gait recognition by learning to rank
Martín Félez, Raúl; Xiang, Tao Elsevier (2014)Gait is a useful biometric because it can operate from a distance and without subject cooperation. However, it is affected by changes in covariate conditions (carrying, clothing, view angle, etc.). Existing methods suffer ...