Perceptible Lightweight Zero-Mean Normalized Cross-Correlation for Infrared Template Matching

Infrared template matching is an essential technology that enables reliable and accurate object detection, recognition, and tracking in complex environments. Perceptible Lightweight Zero-mean normalized cross-correlation (ZNCC) Template Matching (PLZ-TM) has been proposed as a tool for matching infr...

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Hlavní autoři:	Seungeon Lee, Donyung Kim, Inho Park, Geonjong Kim, Sungho Kim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Template matching zero-mean normalized cross correlation real-time infrared image matching convolutional neural network
On-line přístup:	https://ieeexplore.ieee.org/document/10747364/
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