Flexible human action recognition in depth video sequences using masked joint trajectories-Reference-Cited by-同舟云学术

Flexible human action recognition in depth video sequences using masked joint trajectories

Published:2016-06-03 Issue:1 Volume:2016 Page:
ISSN:1687-5281
Container-title:EURASIP Journal on Image and Video Processing
language:en
Short-container-title:J Image Video Proc.

Author:

Tejero-de-Pablos Antonio,Nakashima Yuta,Yokoya Naokazu,Díaz-Pernas Francisco-Javier,Martínez-Zarzuela Mario

Funder

Japan Society for the Promotion of Science

Microsoft Research

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13640-016-0120-y.pdf

Reference46 articles.

1. P Turaga, R Chellappa, VS Subrahmanian, O Udrea, Machine recognition of human activities: a survey. IEEE Trans. Circuits Syst. Video Technol.18(11), 1473–1488 (2008).

2. J Aggarwal, MS Ryoo, Human activity analysis: a review. ACM Comput. Surv.43(3), 16–11643 (2011).

3. Y Sheikh, M Sheikh, M Shah, in Proc. the 10th IEEE International Conference on Computer Vision (ICCV), 1. Exploring the space of a human action, (2005), pp. 144–149.

4. C Plagemann, V Ganapathi, D Koller, S Thrun, in Proc. the IEEE International Conference on Robotics and Automation (ICRA). Real-time identification and localization of body parts from depth images, (2010), pp. 3108–3113.

5. J Giles, Inside the race to hack the kinect. New Scientist. 208(2789), 22–23 (2010).

Cited by 5 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. The Rise of Machine Learning in Polymer Discovery;Advanced Intelligent Systems;2023-01-31

2. Deep action: A mobile action recognition framework using edge offloading;Peer-to-Peer Networking and Applications;2021-10-06

3. An image segmentation approach on improved implicit surface model in straddle strategy;Multimedia Tools and Applications;2020-02-25

4. Summarization of User-Generated Sports Video by Using Deep Action Recognition Features;IEEE Transactions on Multimedia;2018-08

5. Multiview Layer Fusion Model for Action Recognition Using RGBD Images;Computational Intelligence and Neuroscience;2018-06-20