Human Action Recognition With Video Data: Research and Evaluation Challenges
By Manoj Ramanathan, Wei Yun Yau, Eam Khwang Teoh. 2014
110 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
- Wanqing Li
- Pichao Wang
- Philip O. Ogunbona
- Chang-Fu Tang
- Jing Zhang
- Nasser Kehtarnavaz
- Roozbeh Jafari
- Jun Liu
In Computer Vision and Pattern Recognition
- Wanqing Li
- Pichao Wang
- Philip O. Ogunbona
- Chang-Fu Tang
- Nasser Kehtarnavaz
- Zhimin Gao
- Roozbeh Jafari
- Jun Liu
Citations in the corpus
- RGB-D-based action recognition datasets: A survey (2016, background): “[59] identified some of these factors as execution rate, anthropomorphic variations, viewpoint variation, occlusion, cluttered background, and camera motion.”
- A survey of depth and inertial sensor fusion for human action recognition (2015, background): “The popularity of human action recognition based on RGB cameras has led to several survey articles that have appeared in [1, 50, 51, 66].”
- Artificial Intelligence for the Metaverse: A Survey (2022, unknown): “, humanmachine interaction and human-human interaction) [80].”