Comparison of different machine learning models on feature extraction for human activity recognition from RGB-depth datasets-Reference-Cited by-同舟云学术

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Comparison of different machine learning models on feature extraction for human activity recognition from RGB-depth datasets

Published:2019-03-15 Issue: Volume: Page:
ISSN:
Container-title:Eleventh International Conference on Machine Vision (ICMV 2018)
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Author:

Al-Akam Rawya,Paulus Dietrich

Publisher

SPIE

Reference36 articles.

1. Local and Global feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition;Al-akam,2018

2. RGBD Human Action Recognition using Multi-Features Combination and K-Nearest Neighbors Classification;Al-akam;International Journal of Advanced Computer Science and Applications (IJACSA),2017

3. Human Activity Detection from RGBD Images;Sung,2011

4. Classifier Ensemble Optimization for Human Activity Recognition in Smart Homes;Fatima,2013

5. A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition

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