Semantic human activity recognition: A literature review
By Maryam Ziaeefard, Robert Bergevin. 2015
226 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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
- Ranganath Krishnan
- Paulo López-Meyer
- Omesh Tickoo
- Yi-Xiang Zhang
- Hongbo Zhang
- Jonathan Huang
- Lijie Yang
- Mahesh Subedar
In Computer Vision and Pattern Recognition
- Ranganath Krishnan
- Paulo López-Meyer
- Omesh Tickoo
- Yi-Xiang Zhang
- Hongbo Zhang
- Jonathan Huang
- Lijie Yang
- Mahesh Subedar
Citations in the corpus
- Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference (2018, background): “Methods which combine semantic level information [53] such as pose, object/scene context and other attributes including linguistic descriptors have been proposed to detect group activities.”
- A Comprehensive Survey of Vision-Based Human Action Recognition Methods (2019, background): “Human action recognition has a wide range of applications, such as intelligent video surveillance and environmental home monitoring [1,2], video storage and retrieval [3,4], intelligent human–machine interfaces [5,6], and identity recognition [7].”