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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Bibliographic Details
Published in:IEEE Access
Main Authors: Seungeon Lee, Donyung Kim, Inho Park, Geonjong Kim, Sungho Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Template matching
zero-mean normalized cross correlation
real-time
infrared
image matching
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10747364/

Internet

https://ieeexplore.ieee.org/document/10747364/

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