A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier
This paper presents an approach for event recognition in sequential images using human body part features and their surrounding context. Key body points were approximated to track and monitor their presence in complex scenarios. Various feature descriptors, including MSER (Maximally Stable Extremal...
Saved in:
Main Authors: | Muhammad Tayyab, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Hui Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/441 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the extreme points of some classes of holomorphic functions
by: Nicolas Samaris
Published: (1997-01-01) -
Ombres et transparences, de Vinci aux calques numériques
by: Marie-Madeleine Martinet
Published: (2012-01-01) -
Diagnostic performance of point-of-care ultrasonography (POC-US) in haemophilia joint health: a comparative study with MRI
by: Duseja Yash, et al.
Published: (2024-11-01) -
New classification of analytic functions with negative coefficients
by: Shigeyoshi Owa, et al.
Published: (1988-01-01) -
IMAGINER 2—improving accuracy with augmented realIty navigation system during placement of external ventricular drains over Kaufman's, Keen's, Kocher's and Frazier's point
by: Martin Vychopen, et al.
Published: (2025-01-01)