Benchmark of Deep Learning Visual and Far-Infrared Videos Toward Weather-tolerant Pedestrian Traffic Monitoring
Author:
Affiliation:
1. Graduate School of Science and Technology, Nara Institute of Science and Technology,Nara,Japan
2. Information Initiative Center, Nara Institute of Science and Technology,Nara,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10112208/10112245/10112301.pdf?arnumber=10112301
Reference22 articles.
1. Using Deep Learning with Thermal Imaging for Human Detection in Heavy Smoke Scenarios
2. Multispectral pedestrian detection: Benchmark dataset and baseline
3. Ultralytics/yolov5: V7.0 - YOLOv5 SOTA Realtime Instance Segmentation;jocher;Zenodo,2022
4. YOLO-FIRI: Improved YOLOv5 for Infrared Image Object Detection
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1. Enhanced Pedestrian Detection Model Transfer-Trained on YOLOv8 Using DenseFused RGB and FIR Images;2024 IEEE International Conference on Smart Computing (SMARTCOMP);2024-06-29
2. Bioinspired Garra Rufa Optimization-Assisted Deep Learning Model for Object Classification on Pedestrian Walkways;Biomimetics;2023-11-11
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