Target Recognition and Analysis Based on Infrared Thermal Imaging Technology

Yiwang Dong

doi:10.6911/WSRJ.202503_11(3).0013

Authors

Yiwang Dong

DOI:

https://doi.org/10.6911/WSRJ.202503_11(3).0013

Keywords:

Infrared thermography; Image segmentation; Target recognition.

Abstract

Target recognition is a core task in computer vision and a key challenge in intelligent perception. Current research primarily focuses on target recognition in visible light images, but traditional methods often face significant challenges in low-visibility environments such as nighttime or foggy conditions. To address this issue, this paper is based on infrared thermal imaging technology. It extracts features from infrared images by analyzing the gradient direction and gradient magnitude, and classifies the extracted pedestrian features using a Support Vector Machine (SVM). The method aims to achieve pedestrian detection under low-visibility conditions. Experimental results demonstrate that the proposed algorithm significantly enhances pedestrian detection performance, exhibiting strong practicality and flexibility.

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