Applying Faster R-CNN in Extremely Low-Resolution Thermal Images for People Detection-Reference-Cited by-同舟云学术

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Applying Faster R-CNN in Extremely Low-Resolution Thermal Images for People Detection

Published:2020-09 Issue: Volume: Page:
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Container-title:2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
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Author:

Jimenez-Bravo Diego M.,Mutombo Pierre Masala,Braem Bart,Marquez-Barja Johann M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9204960/9213512/09213609.pdf?arnumber=9213609

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Occluded Multi-Human Target Segmentation in Dynamic Indoor Scenes Based on Thermopile Array Sensor;IEEE Sensors Journal;2024-04-01

2. A Cost-Effective Smart Labor Assistance Trolley for Industrial Applications;2023 International Conference on Robotics and Automation in Industry (ICRAI);2023-03-03

3. Autonomous 3D Thermal Mapping of Disaster Environments for Victims Detection;Studies in Computational Intelligence;2023

4. Application of A Priori Map in Dynamic Background Removal for Indoor Human Perception Using a Thermopile Array;IEEE Sensors Journal;2022-01-15

5. Snakes in Trees: An Explainable Artificial Intelligence Approach for Automatic Object Detection and Recognition;Proceedings of the 14th International Conference on Agents and Artificial Intelligence;2022

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