Browsing by Author "Cartas Ayala, Alejandro"
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Activities of daily living monitoring via a wearable camera: toward real-world applications
Cartas Ayala, Alejandro; Radeva, Petia; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2020)
Article
Open AccessActivity recognition from wearable photo-cameras is crucial for lifestyle characterization and health monitoring. However, to enable its wide-spreading use in real-world applications, a high level of generalization needs ... -
LEMoRe: A lifelog engine for moments retrieval at the NTCIR-lifelog LSAT task
de Oliveira Barra, Gabriel; Cartas Ayala, Alejandro; Bolaños, Marc; Dimiccoli, Mariella; Giró Nieto, Xavier; Radeva, Petia (2016)
Conference lecture
Open AccessSemantic image retrieval from large amounts of egocentric visual data requires to leverage powerful techniques for filling in the semantic gap. This paper introduces LEMoRe, a Lifelog Engine for Moments Retrieval, developed ... -
Modeling long-term interactions to enhance action recognition
Cartas Ayala, Alejandro; Radeva, Petia; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessIn this paper, we propose a new approach to understand actions in egocentric videos that exploits the semantics of object interactions at both frame and temporal levels. At the frame level, we use a region-based approach ... -
Seeing and hearing egocentric actions: how much can we learn?
Cartas Ayala, Alejandro; Luque, Jordi; Radeva, Petia; Segura, Carlos; Dimiccoli, Mariella (2019)
Conference report
Open AccessOur interaction with the world is an inherently multi-modal experience. However, the understanding of human-to-object interactions has historically been addressed focusing on a single modality. In particular, a limited ... -
Understanding event boundaries for egocentric activity recognition from photo-streams
Cartas Ayala, Alejandro; Talavera, Estefanía; Radeva, Petia; Dimiccoli, Mariella (Springer Nature, 2021)
Conference report
Open AccessThe recognition of human activities captured by a wearable photo-camera is especially suited for understanding the behavior of a person. However, it has received comparatively little attention with respect to activity ...