Skeleton-based Human Activity Recognition for Video Surveillance
By Ahmed Taha, Hala Helmy Zayed, Mohamed Essam Khalifa, El-Sayed M. El-Horbaty. 2015
21 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- German Ignacio Parisi
- Stefan Wermter
- Luiza Mici
- Cornelius Weber
- Vincenzo Lomonaco
- Christopher Kanan
- Jun Tani
- Tyler L. Hayes
In Biomedical Engineering
In Computer Vision and Pattern Recognition
- German Ignacio Parisi
- Stefan Wermter
- Luiza Mici
- Cornelius Weber
- Jun Tani
- Vincenzo Lomonaco
- Christopher Kanan
- Tyler L. Hayes
Citations in the corpus
- A self-organizing neural network architecture for learning human-object interactions (2017, methodology): “We reported only the approaches that do not use groundtruth temporal segmentation of the activities into smaller atomic actions or sub-activities [61, 62].”