Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier

Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier

This paper presents an advanced approach to Human Pose Estimation (HPE) and Semantic Event Classification (SEC), emphasizing the need for sophisticated human skeleton models, context-aware feature extraction, and machine learning techniques for precise event recognition in daily life logs. HPE, cruc...

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Bibliographic Details
Main Authors: Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Pose estimation
event recognition
remote sensing
multi-level feature extraction
Lucas-Kanade
skeletonization
Online Access:https://ieeexplore.ieee.org/document/10752949/
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https://ieeexplore.ieee.org/document/10752949/

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