Person Detection in Thermal Videos Using YOLO (CROSBI ID 683276)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ivašić-Kos, Marina ; Krišto, Mate ; Pobar, Miran
engleski
Person Detection in Thermal Videos Using YOLO
In this paper, the task of automatic person detection in thermal images using convolutional neural network-based models originally intended for detection in RGB images is investigated. The performance of the standard YOLOv3 model is compared with a custom trained model on a dataset of thermal images extracted from videos recorded at night in clear weather, rain and fog, at different ranges and with different types of movement – running, walking and sneaking. The experiments show excellent results in terms of average precision for all tested scenarios, and a significant improvement of performance for person detection in thermal imaging with a modest training set.
Thermal imaging ; Object detector ; Convolutional neural networks ; YOLO ; Person detection
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
254-267.
2019.
objavljeno
10.1007/978-3-030-29513-4_18
Podaci o matičnoj publikaciji
Proceedings of SAI Intelligent Systems Conference IntelliSys 2019: Intelligent Systems and Applications
Bi, Yaxin ; Bhatia, Rahul ; Kapoor, Supriya
Cham: Springer
978-3-030-29512-7
Podaci o skupu
Intelligent Systems Conference (IntelliSys 2019)
predavanje
05.09.2019-06.09.2019
London, Ujedinjeno Kraljevstvo
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo