YOLO-IHD: Improved Real-Time Human Detection System for Indoor Drones
Author:
Affiliation:
1. Informatics Institute, Gazi University, 06680 Ankara, Turkey
2. Computer Engineering Department, Faculty of Engineering, Gazi University, 06570 Ankara, Turkey
Abstract
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/24/3/922/pdf
Reference72 articles.
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3. Moving human detection and tracking from thermal video through intelligent surveillance system for smart applications;Kumar;Multimed. Tools Appl.,2023
4. Scislo, L., and Szczepanik-Scislo, N. (2023, January 7–9). Near Real-Time Access Monitoring Based on IoT Dynamic Measurements of Indoor Air Pollutant. Proceedings of the 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Dortmund Germany.
5. Xu, G., Xie, S., Wang, J., and Wu, G. (2018, January 7–8). The Application of Real-Time Object Detection on Aerial HD Videos Based on Deep CNN. Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018), Wuhan, China.
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