TSRN: two-stage refinement network for temporal action segmentation-Reference-Cited by-同舟云学术

TSRN: two-stage refinement network for temporal action segmentation

Published:2023-05-15 Issue:3 Volume:26 Page:1375-1393
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Tian Xiaoyan,Jin Ye,Tang Xianglong

Funder

National Natural Science Foundation of China

Basic Research Key Project

Natural Science Foundation of Heilongjiang Province of China

Science & Technology Planned Project of Heilongjiang Province of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-023-01166-8.pdf

Reference53 articles.

1. Febin IP, Jayasree K, Joy PT (2020) Violence detection in videos for an intelligent surveillance system using MoBSIFT and movement filtering algorithm. Pattern Anal Appl 23(2):611–623

2. Pan Z, Liu S, Sangaiah AK, Muhammad K (2018) Visual attention feature (VAF): a novel strategy for visual tracking based on cloud platform in intelligent surveillance systems. J Parallel Distr Com 120:182–194

3. Stenum J, Rossi C, Roemmich RT (2021) Two-dimensional video-based analysis of human gait using pose estimation. Plos Comput Biol 17(4):e1008935

4. Feichtenhofer C, Pinz A, Wildes RP (2017) Spatiotemporal multiplier networks for video action recognition. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), IEEE, pp 4768–4777

5. Ding L, Xu C (2017) Tricornet: A hybrid temporal convolutional and recurrent network for video action segmentation. arXiv preprint arXiv:1705.07818

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