Real time human action recognition from RGB clips using local motion histogram-Reference-Cited by-同舟云学术

Real time human action recognition from RGB clips using local motion histogram

Published:2019-05-17 Issue:2 Volume:13 Page:219-228
ISSN:1872-4981
Container-title:Intelligent Decision Technologies
language:
Short-container-title:IDT

Author:

Srivastava Awadhesh Kumar¹²,Biswas K.K.³

Affiliation:

1. UTU Dehradun, Dehradun, India

2. KIET Group of Institutions, Ghaziabad, India

3. Bennett University, Greater Noida, India

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference29 articles.

1. Human activity analysis: A review;Aggarwal;ACM Computing Surveys (CSUR),2011

2. Dalal N, Triggs B. Histograms of oriented gradients for human detection. Ininternational Conference on computer vision & Pattern Recognitio. (CVPR’05), IEEE Computer Society. 2005 Jun 20; 1: 886-893.

3. Leibe B, Seemann E, Schiele B. Pedestrian detection in crowded scenes. in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), IEEE. 2005 Jun 20; 1: 878-885.

4. Srivastava AK, Biswas KK. Human activity recognition using local motion histogram. InInternational Conference on Next Generation Computing Technologies. Springer, Singapore. 2017 Oct 30; 908-917.

5. El-Henawy I, Ahmed K, Mahmoud H. Action recognition using fast HOG3D of integral videos and Smith–Waterman partial matching. IET Image Processing. 2018 Jan 4; 12(6): 896-908.

Cited by 1 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. Accelerometer-based human fall detection using sparrow search algorithm and back propagation neural network;Measurement;2022-11