Architecture for Automatic Recognition of Group Activities Using Local Motions and Context-Reference-Cited by-同舟云学术

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Architecture for Automatic Recognition of Group Activities Using Local Motions and Context

Published:2022 Issue: Volume:10 Page:79874-79889
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Borja-Borja Luis Felipe¹^ORCID,Azorin-Lopez Jorge²^ORCID,Saval-Calvo Marcelo²^ORCID,Fuster-Guillo Andres²^ORCID,Sebban Marc³

Affiliation:

1. Facultad de Ingeniería y Ciencias Aplicadas, Universidad Central del Ecuador, Quito, Ecuador

2. Computer Technology Department, University of Alicante, Alicante, Spain

3. Laboratoire Hubert-Curien, UMR CNRS 5516, Université de Lyon, Université de Saint-Etienne, Saint-Étienne, France

Funder

Ministerio de Ciencia e Innovaci?n

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/ielx7/6287639/9668973/09844703.pdf?arnumber=9844703

Reference70 articles.

1. Group Activity Recognition with Differential Recurrent Convolutional Neural Networks

2. Hybrid deep network for anomaly detection;nguyen nguyen;arXiv 1908 06347,2019

3. Anomaly Detection in Video Sequence With Appearance-Motion Correspondence

4. Future Frame Prediction Using Convolutional VRNN for Anomaly Detection

5. Segmenting Objects from Relational Visual Data

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. Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey;Sensors;2023-05-24

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