Infrared target detection based on Gaussian model and Hungarian algorithm. Issue 10 (3rd October 2022)

• Record Type: Journal Article
• Authors: Zhu, Zhiyu; Lou, Kang; Ge, Huilin; Xu, Qingqing; Wu, Xuedong
• Is Part Of: Enterprise information systems. Volume 16:Issue 10/11(2022)
• Page Start: 1573
• Page End: 1586
• Publication Date: 2022-10-03
• Subjects: Gaussian model -- Hungarian algorithm -- Kalman filter -- detection -- tracking -- infrared weak target; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2021.1913766
• Languages: English
• ISSNs: 1751-7575

Abstract

ABSTRACT: Based on Gaussian distribution, a method for modelling targets is proposed. The trajectories of infrared targets are predicted by Kalman filtering. The Munkres version of the Hungarian algorithm is utilized to find the optimum assignment between the trajectories and the positions of real targets. Finally, based on the open dataset, we prove that the proposed algorithm is able to find and track infrared dim targets more effectively, while satisfying the requirements of real-time detection.