Human activity recognition using improved dynamic image-Reference-Cited by-同舟云学术

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Human activity recognition using improved dynamic image

Published:2020-10-05 Issue:13 Volume:14 Page:3223-3231
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Riahi Mohammadreza¹^ORCID,Eslami Mohammad¹^ORCID,Safavi Seyed Hamid¹²³,Torkamani Azar Farah¹

Affiliation:

1. Faculty of Electrical EngineeringShahid Beheshti UniversityTehranIran

2. Department of Engineering Sciences, Faculty of Advanced TechnologiesUniversity of Mohaghegh ArdabiliNaminIran

3. Department of Engineering Sciences, Faculty of Advanced TechnologiesSabalan University of Advanced Technologies (SUAT)NaminIran

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/iet-ipr.2019.1739

Reference49 articles.

1. LiuJ. LuoJ. ShahM.: ‘Recognizing realistic actions from videos in the wild’ Citeseer 2009

2. Ucf101: A dataset of 101 human actions classes from videos in the wild;Soomro K.;Computer Vision and Pattern Recognition,2012

3. HMDB: A large video database for human motion recognition

4. Human Action Recognition With Video Data: Research and Evaluation Challenges

5. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification

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2. A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning-Based Feature Extraction for Dynamic Human Activity Recognition;Applied Sciences;2024-01-10

3. Hybrid optimized multimodal spatiotemporal feature fusion for vision-based sports activity recognition;Journal of Intelligent & Fuzzy Systems;2024-01-10

4. Leveraging and Refining Image Recognition Technology for Intelligent Logistics Sorting Systems;Traitement du Signal;2023-06-28

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