Particle swarm optimization with deep learning for human action recognition
Motion target detection and tracking are among the most important computer vision areas that use advanced image processing techniques. To accomplish the purpose of tracking a target, traditional approaches first perform the detection process and then track the target. However, such methods necessita...
Saved in:
Main Authors: | Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A. |
---|---|
Format: | Article |
Published: |
ICIC International
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121686467&doi=10.24507%2fijicic.17.06.1843&partnerID=40&md5=306e24c2811bb0855b1edc69452ddc0f http://eprints.utp.edu.my/29597/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Deep Learning Algorithm to Monitor Social Distancing in Real-Time Videos: A Covid-19 Solution
by: Usmani, U.A., et al.
Published: (2023) -
Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel
by: Usmani, U.A., et al.
Published: (2022) -
A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
by: Usmani, U.A., et al.
Published: (2021) -
A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation
by: Usmani, U.A., et al.
Published: (2021) -
Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging
by: Usmani, U.A., et al.
Published: (2022)