Cargando…
A New Approach for Abnormal Human Activities Recognition Based on ConvLSTM Architecture
Recognizing various abnormal human activities from video is very challenging. This problem is also greatly influenced by the lack of datasets containing various abnormal human activities. The available datasets contain various human activities, but only a few of them contain non-standard human behav...
Autores principales: | Vrskova, Roberta, Hudec, Robert, Kamencay, Patrik, Sykora, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028541/ https://www.ncbi.nlm.nih.gov/pubmed/35458929 http://dx.doi.org/10.3390/s22082946 |
Ejemplares similares
-
Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
por: Li, Yang, et al.
Publicado: (2020) -
A New Deep-Learning Method for Human Activity Recognition
por: Vrskova, Roberta, et al.
Publicado: (2023) -
Facial expression recognition in videos using hybrid CNN & ConvLSTM
por: Singh, Rajesh, et al.
Publicado: (2023) -
Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification
por: Li, Li, et al.
Publicado: (2022) -
Learning Spatio Temporal Tactile Features with a ConvLSTM for the Direction Of Slip Detection
por: Zapata-Impata, Brayan S., et al.
Publicado: (2019)