Human Action Recognition using Multi-Kernel Learning for Temporal Residual Network-Reference-Cited by-同舟云学术

Human Action Recognition using Multi-Kernel Learning for Temporal Residual Network

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Nazir Saima¹,Qian Yu²,Yousaf Muhammad³,Velastin Sergio⁴,Izquierdo Ebroul⁵,Vazquez Eduard²

Affiliation:

1. University of Engineering and Technology Taxila, Pakistan, Queen Mary University of London, U.K., Cortexica Vision Systems Ltd. and U.K., --- Select a Country ---

2. Cortexica Vision Systems Ltd. and U.K., --- Select a Country ---

3. University of Engineering and Technology Taxila and Pakistan, --- Select a Country ---

4. Queen Mary University of London, U.K., Universidad Carlos III de Madrid, Spain, Cortexica Vision Systems Ltd. and U.K., --- Select a Country ---

5. Queen Mary University of London and U.K., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 3 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. Statistical Features Versus Deep Learning Representation for Suspicious Human Activity Recognition;2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES);2022-10-22

2. Sparse coded spatial pyramid matching and multi-kernel integrated SVM for non-linear scene classification;Journal of Electrical Engineering;2021-12-01

3. A transfer learning-based efficient spatiotemporal human action recognition framework for long and overlapping action classes;The Journal of Supercomputing;2021-07-13