Real-Time Human Tracking Using Multi-Features Visual With CNN-LSTM and Q-Learning

Real-Time Human Tracking Using Multi-Features Visual With CNN-LSTM and Q-Learning

Various methods are employed in computer vision applications to identify individuals, including using face recognition as a human visual feature helpful in tracking or searching for a person. However, tracking systems that rely solely on facial information encounter limitations, particularly when fa...

Full description

Bibliographic Details
Main Authors: Devira Anggi Maharani, Carmadi Machbub, Pranoto Hidaya Rusmin, Lenni Yulianti
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Face and body visual features
CNN
LSTM
Q-learning
real-time
Online Access:https://ieeexplore.ieee.org/document/10403888/

Internet

https://ieeexplore.ieee.org/document/10403888/

Similar Items