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...

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Autors principals:	Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Object detection and tracking moving objects non-moving objects Kalman filter classifier
Accés en línia:	https://ieeexplore.ieee.org/document/10756697/
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