Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization

Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization

This study presents a novel approach for object detection and tracking in aerial images using a multi-scale Northern Goshawk Pyramid Generative Adversarial Network (NGPGAN). The research evaluates different algorithms and features to identify people, trees, cars, and buildings in real-world drone vi...

Full description

Saved in:
Bibliographic Details
Main Authors: Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Object detection and tracking
moving objects
non-moving objects
Kalman filter
classifier
Online Access:https://ieeexplore.ieee.org/document/10756697/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10756697/

Similar Items