Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition
Author:
Affiliation:
1. University of Koblenz-Landau, Germany
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep Learning Based Human Activity Recognition Using Spatio-Temporal Image Formation of Skeleton Joints;Applied Sciences;2021-03-17
2. Comparison of different machine learning models on feature extraction for human activity recognition from RGB-depth datasets;Eleventh International Conference on Machine Vision (ICMV 2018);2019-03-15
3. Dense 3D Optical Flow Co-occurrence Matrices for Human Activity Recognition;Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction;2018-09-20
4. Human Action Recognition from RGBD Videos based on Retina Model and Local Binary Pattern Features;CSRN;2018
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