Pose‐driven human activity anomaly detection in a CCTV‐like environment-Reference-Cited by-同舟云学术

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Pose‐driven human activity anomaly detection in a CCTV‐like environment

Published:2022-10-22 Issue:3 Volume:17 Page:674-686
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Yuxing¹^ORCID,Angelini Federico²^ORCID,Naqvi Syed Mohsen¹^ORCID

Affiliation:

1. Intelligent Sensing and Communications Research Group Newcastle University UK

2. Thales UK Limited Reading RG2 6GF UK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12664

Reference47 articles.

1. A Review on Human Activity Recognition Using Vision‐Based Method;Zhang S.;J. Healthcare Eng.,2017

2. 2D Pose‐based Real‐time Human Action Recognition with Occlusion‐handling;Angelini F.;IEEE Trans. Multim. (Early Access),2019

3. Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking

4. Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking

5. Enhanced Adversarial Learning Based Video Anomaly Detection with Object Confidence and Position

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3. Anomaly Detection from Image Classification;2024 9th International Conference on Control and Robotics Engineering (ICCRE);2024-05-10

4. Jagriti via Mudra: A pose based surveillance anomaly detection system;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

5. A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions;Future Internet;2024-04-19

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