Cargando…
A video summarization framework based on activity attention modeling using deep features for smart campus surveillance system
Like other business domains, digital monitoring has now become an integral part of almost every academic institution. These surveillance systems cover all the routine activities happening on the campus while producing a massive volume of video data. Selection and searching the desired video segment...
Autores principales: | Muhammad, Wasim, Ahmed, Imran, Ahmad, Jamil, Nawaz, Muhammad, Alabdulkreem, Eatedal, Ghadi, Yazeed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044333/ https://www.ncbi.nlm.nih.gov/pubmed/35494862 http://dx.doi.org/10.7717/peerj-cs.911 |
Ejemplares similares
-
An evolutionary algorithm for multi-objective optimization of freshwater consumption in textile dyeing industry
por: Elahi, Ihsan, et al.
Publicado: (2022) -
From video summarization to real time video summarization in smart cities and beyond: A survey
por: Shambharkar, Prashant Giridhar, et al.
Publicado: (2023) -
MGACA-Net: a novel deep learning based multi-scale guided attention and context aggregation for localization of knee anterior cruciate ligament tears region in MRI images
por: Awan, Mazhar Javed, et al.
Publicado: (2023) -
Visual saliency models for summarization of diagnostic hysteroscopy videos in healthcare systems
por: Muhammad, Khan, et al.
Publicado: (2016) -
Application of region-based video surveillance in smart cities using deep learning
por: Zahra, Asma, et al.
Publicado: (2021)