Human Body 3D Reconstruction and Gait Analysis via Features Mining Framework-Reference-Cited by-同舟云学术

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Human Body 3D Reconstruction and Gait Analysis via Features Mining Framework

Published:2022-08-16 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST)
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Author:

Akhter Israr¹,Hafeez Sadaf¹

Affiliation:

1. Air University,Dept. of Computer Science,Islamabad,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989533/9990034/09990213.pdf?arnumber=9990213

Reference76 articles.

1. Wearable Sensors for Activity Analysis using SMO-based Random Forest over Smart home and Sports Datasets

2. Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes

3. Human Actions Tracking and Recognition Based on Body Parts Detection via Artificial Neural Network

4. Object detection learning for intelligent self automated vehicles;alam;IASC,2022

5. Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures

Cited by 2 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. Intelligent ADL Recognition via IoT-Based Multimodal Deep Learning Framework;Sensors;2023-09-16

2. Postures anomaly tracking and prediction learning model over crowd data analytics;PeerJ Computer Science;2023-05-24

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