An Elliptical Modeling Supported System for Human Action Deep Recognition Over Aerial Surveillance-Reference-Cited by-同舟云学术

An Elliptical Modeling Supported System for Human Action Deep Recognition Over Aerial Surveillance

Published:2023 Issue: Volume:11 Page:75671-75685
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Azmat Usman¹,Alotaibi Saud S.²^ORCID,Mudawi Naif Al³^ORCID,Alabduallah Bayan Ibrahimm⁴^ORCID,Alonazi Mohammed⁵,Jalal Ahmad¹,Park Jeongmin⁶^ORCID

Affiliation:

1. Department of Computer Science, Air University, Islamabad, Pakistan

2. Information Systems Department, Umm Al-Qura University, Makkah, Saudi Arabia

3. Department of Computer Science, College of Computer Science and Information System, Najran University, Najran, Saudi Arabia

4. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

5. Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

6. Department of Computer Engineering, Tech University of Korea, Siheung-si, South Korea

Funder

Basic Science Research Program through the National Research Foundation

Ministry of Science and Information & Communications Technology (MSIT), Republic of Korea

Deanship of Scientific Research funded by Najran University

Princess Nourah bint Abdulrahman University Researchers

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Prince Satam bin Abdulaziz University

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/ielx7/6287639/10005208/10101803.pdf?arnumber=10101803

Reference75 articles.

1. Human activity recognition using the labeled depth body parts information of depth silhouettes;jalal;Proc 6th Int Symp Sustain Healthy Buildings,2012

2. Feature extraction of point clouds based on region clustering segmentation

3. Human Action Recognition Using Multilevel Depth Motion Maps

4. Automated Fiducial Points Detection Using Human Body Segmentation

5. Automatic Recognition of Human Interaction via Hybrid Descriptors and Maximum Entropy Markov Model Using Depth Sensors

Cited by 14 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. A review of video-based human activity recognition: theory, methods and applications;Multimedia Tools and Applications;2024-07-10

2. A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities;Expert Systems with Applications;2024-06

3. Vehicle Detection and Classification via YOLOv4 and CNN over Aerial Images;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23

4. Machine learning Based on Body Points Estimation for Sports Event Recognition;2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC);2024-05-02

5. Pattern Analytics of Healthy and Diseased Leaves Recognition using Genetic Algorithm;2024 5th International Conference on Advancements in Computational Sciences (ICACS);2024-02-19