Exploring alternative spatial and temporal dense representations for action recognition
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Otros documentos de la autoría: Agustí Ballester, Pau; Traver Roig, Vicente Javier; Pla, Filiberto; Marín Jiménez, Manuel J.
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Metadatos
Título
Exploring alternative spatial and temporal dense representations for action recognitionAutoría
Fecha de publicación
2011Editor
Springer-VerlagISSN
0302-9743Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.springerlink.com/content/44mh826430300114/fulltext.pdfPalabras clave / Materias
Resumen
The automatic analysis of video sequences with individuals
performing some actions is currently receiving much attention in the computer vision community. Among the different visual features chosen to
tackle the ... [+]
The automatic analysis of video sequences with individuals
performing some actions is currently receiving much attention in the computer vision community. Among the different visual features chosen to
tackle the problem of action recognition, local histogram within a region
of interest is proven to be very effective. However, we study for the first
time whether spatiograms, which are histograms enriched with per-bin
spatial information, can be alternatively effective for action characterization. On the other hand, the temporal information of these histograms is
usually collapsed by simple averaging of the histograms, which basically
ignores the dynamics of the action. In contrast, this paper explores a temporally holistic representation in the form of recurrence matrices which
capture pair-wise spatiograms relationships on a frame-by-frame basis.
Experimental results show that recurrence matrices are powerful for action classification, whereas spatiograms, in its current usage, are not. [-]
Publicado en
Lecture notes in computer science (2011), vol. 6855, 364-371Derechos de acceso
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