Evidence map›Paper›PMID 39528635›Full record

ArticleScientific reports2024

Research on motion target detection based on infrared biomimetic compound eye camera.

Linhan Li, Xiaoyu Wang, Teng Lei, Juan Yue, Sili Gao, Yang Yu, Haifeng Su

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Linhan LiShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China.
Xiaoyu WangShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China.
Teng LeiShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China.
Juan YueShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China.
Sili GaoShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China. gaosili@mail.sitp.ac.cn.
Yang YuShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, 200083, China. yuyang@mail.sitp.ac.cn.
Haifeng SuShanghai University, Shanghai, 200444, China. hfsu@shu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cooled mid-wave infrared biomimetic compound eye camera has wide range of applications, such as industrial inspection, military project, and security. Due to the low resolution of individual eyes and the large field view of the imaging system, existing motion target enhancement and detection algorithms cannot effectively detect all potential targets. To address this issue, we propose an improved elementary motion detector model that combines a double-layer ON_OFF channel and a cross-type computational architecture, which is able to suppress a stationary background and enhance moving targets. In order to further reduce the missed detection, we designed the spatial and temporal consistency detection methods of the compound eye structure, which further improved the accuracy and stability of the detection results. The experimental results show that our method can fully utilize the features of the image and can be applied to the enhancement and detection of moving objects in complex scenes, and the detection efficiency is significantly improved.

Identifiers

PMID39528635
PMCPMC11554778

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