Human Fall Detection in Surveillance Videos Using Fall Motion Vector Modeling-Reference-Cited by-同舟云学术

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Human Fall Detection in Surveillance Videos Using Fall Motion Vector Modeling

Published:2021-08-01 Issue:15 Volume:21 Page:17162-17170
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Vishnu Chalavadi^ORCID,Datla Rajeshreddy^ORCID,Roy Debaditya^ORCID,Babu Sobhan,Mohan C. Krishna

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9502188/09437213.pdf?arnumber=9437213

Cited by 49 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 real-time fall detection model based on BlazePose and improved ST-GCN;Journal of Real-Time Image Processing;2023-11-04

2. FALLNET: A Deep Learning Model for Fall Detection using improved CNN-Attention-LSTM;2023 International Conference on Cyber-Physical Social Intelligence (ICCSI);2023-10-20

3. Real Time Human Activity Detection using YOLOv7;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

4. IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety;Frontiers in Bioengineering and Biotechnology;2023-09-21

5. Future Frame Prediction Network for Human Fall Detection in Surveillance Videos;IEEE Sensors Journal;2023-07-01

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