Spatio-temporal fall event detection in complex scenes using attention guided LSTM-Reference-Cited by-同舟云学术

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Spatio-temporal fall event detection in complex scenes using attention guided LSTM

Published:2020-02 Issue: Volume:130 Page:242-249
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Feng Qi,Gao Chenqiang,Wang Lan,Zhao Yue^ORCID,Song Tiecheng,Li Qiang

Funder

National Natural Science Foundation of China

Chongqing Research Program of Basic Research and Frontier Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. Video based fall detection using features of motion, shape and histogram;Albawendi,2018

2. Multiple Cameras Fall Dataset;Auvinet,2010

3. Simple online and realtime tracking;Bewley,2016

4. A novel approach for fall detection in home environment;Bhandari,2017

5. Pcanet: a simple deep learning baseline for image classification?;Chan;IEEE Trans. Image Process.,2015

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