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Dim Moving Small Target Detection by Local and Global Variance Filtering on Temporal Profiles in Infrared Sequences

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【作者】 Chen HaoLiu Delian

【Author】 Chen Hao;Liu Delian;School of Electronic Engineering,Xidian University;School of Physics and Optoelectronic Engineering,Xidian University;

【通讯作者】 Liu Delian;

【机构】 School of Electronic Engineering,Xidian UniversitySchool of Physics and Optoelectronic Engineering,Xidian University

【摘要】 In this paper, the temporal different characteristics between the target and background pixels are used to detect dim moving targets in the slow-evolving complex background. A local and global variance filter on temporal profiles is presented that addresses the temporal characteristics of the target and background pixels to eliminate the large variation of background temporal profiles. Firstly, the temporal behaviors of different types of image pixels of practical infrared scenes are analyzed.Then, the new local and global variance filter is proposed. The baseline of the fluctuation level of background temporal profiles is obtained by using the local and global variance filter. The height of the target pulse signal is extracted by subtracting the baseline from the original temporal profiles. Finally, a new target detection criterion is designed. The proposed method is applied to detect dim and small targets in practical infrared sequence images. The experimental results show that the proposed algorithm has good detection performance for dim moving small targets in the complex background.

【基金】 National Natural Science Foundation of China(61774120)
【所属期刊栏目】 弱小目标检测跟踪 (2019年06期)
  • 【分类号】TP391.41;TN21;E91
  • 【下载频次】6
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