Cargando…
A Generalized Pyramid Matching Kernel for Human Action Recognition in Realistic Videos
Human action recognition is an increasingly important research topic in the fields of video sensing, analysis and understanding. Caused by unconstrained sensing conditions, there exist large intra-class variations and inter-class ambiguities in realistic videos, which hinder the improvement of recog...
Autores principales: | Zhu, Jun, Zhou, Quan, Zou, Weijia, Zhang, Rui, Zhang, Wenjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871056/ https://www.ncbi.nlm.nih.gov/pubmed/24284771 http://dx.doi.org/10.3390/s131114398 |
Ejemplares similares
-
WLiT: Windows and Linear Transformer for Video Action Recognition
por: Sun, Ruoxi, et al.
Publicado: (2023) -
Realistic medical image super-resolution with pyramidal feature multi-distillation networks for intelligent healthcare systems
por: Ren, Sheng, et al.
Publicado: (2021) -
Multi-surface analysis for human action recognition in video
por: Zhang, Hong-Bo, et al.
Publicado: (2016) -
Kernel learning algorithms for face recognition
por: Li, Jun-Bao, et al.
Publicado: (2013) -
Is the kernel–staples match a key–lock match?
por: Zhuang, Shengli, et al.
Publicado: (2018)