Tuning of Classifiers to Speed-Up Detection of Pedestrians in Infrared Images

Tuning of Classifiers to Speed-Up Detection of Pedestrians in Infrared Images

This paper presents an experimental evaluation of real-time pedestrian detection algorithms and their tuning using the proposed universal performance index. With this index, the precise choice of various parameters is possible. Moreover, we determined the best resolution of the analysis window, whic...

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Bibliographic Details
Main Authors: Karol Piniarski, Paweł Pawłowski, Adam Dąbrowski
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
pedestrian detection
tuning of object classification
night vision
deep convolutional neural networks
ACF detector
Online Access:https://www.mdpi.com/1424-8220/20/16/4363

Internet

https://www.mdpi.com/1424-8220/20/16/4363

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