ViCo-MoCo-DL: Video Coding and Motion Compensation Solutions for Human Activity Recognition Using Deep Learning
Author:
Affiliation:
1. Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates
Funder
Open Access Program through the American University of Sharjah
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10185052.pdf?arnumber=10185052
Reference57 articles.
1. Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition
2. A Bag of Expression framework for improved human action recognition
3. Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
4. A Unified Method for First and Third Person Action Recognition
5. Human action recognition using fusion of multiview and deep features: an application to video surveillance
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