Optimal frames probability model of small moving target detection

Hong Zheng; Qiang Qiang Sui; Lei Chen

doi:10.3969/j.issn.1001-506X.2011.01.02

Optimal frames probability model of small moving target detection

Hong Zheng^*, Qiang Qiang Sui, Lei Chen

^*Corresponding author for this work

Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

Due to the shortage of confirming the length of the small moving targets' track detection, a new method is proposed to solve the problem of trace-fitting length, and the relative characteristics of the trace length and small target detection probability distribution are studied. The problem of trace-fitting length limitation caused by allowable continuous losing frames in the process of trace prediction is discussed. The probability model of small targets detection is established. Through the model, the accuracy of the trace prediction is improved, and an optimal solution of the target trace-fitting frame number is obtained. The proposed model is tested by using 40 groups' images of different interferential ultraviolet small targets. The result shows that the model is efficient.

Original language	English
Pages (from-to)	8-12
Number of pages	5
Journal	Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume	33
Issue number	1
DOIs	https://doi.org/10.3969/j.issn.1001-506X.2011.01.02
Publication status	Published - Jan 2011
Externally published	Yes

Keywords

Optimal frame model
Probability model
Small moving targets detection

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10.3969/j.issn.1001-506X.2011.01.02

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abstract = "Due to the shortage of confirming the length of the small moving targets' track detection, a new method is proposed to solve the problem of trace-fitting length, and the relative characteristics of the trace length and small target detection probability distribution are studied. The problem of trace-fitting length limitation caused by allowable continuous losing frames in the process of trace prediction is discussed. The probability model of small targets detection is established. Through the model, the accuracy of the trace prediction is improved, and an optimal solution of the target trace-fitting frame number is obtained. The proposed model is tested by using 40 groups' images of different interferential ultraviolet small targets. The result shows that the model is efficient.",

keywords = "Optimal frame model, Probability model, Small moving targets detection",

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AU - Zheng, Hong

AU - Sui, Qiang Qiang

AU - Chen, Lei

PY - 2011/1

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N2 - Due to the shortage of confirming the length of the small moving targets' track detection, a new method is proposed to solve the problem of trace-fitting length, and the relative characteristics of the trace length and small target detection probability distribution are studied. The problem of trace-fitting length limitation caused by allowable continuous losing frames in the process of trace prediction is discussed. The probability model of small targets detection is established. Through the model, the accuracy of the trace prediction is improved, and an optimal solution of the target trace-fitting frame number is obtained. The proposed model is tested by using 40 groups' images of different interferential ultraviolet small targets. The result shows that the model is efficient.

AB - Due to the shortage of confirming the length of the small moving targets' track detection, a new method is proposed to solve the problem of trace-fitting length, and the relative characteristics of the trace length and small target detection probability distribution are studied. The problem of trace-fitting length limitation caused by allowable continuous losing frames in the process of trace prediction is discussed. The probability model of small targets detection is established. Through the model, the accuracy of the trace prediction is improved, and an optimal solution of the target trace-fitting frame number is obtained. The proposed model is tested by using 40 groups' images of different interferential ultraviolet small targets. The result shows that the model is efficient.

KW - Optimal frame model

KW - Probability model

KW - Small moving targets detection

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JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

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Optimal frames probability model of small moving target detection

Abstract

Keywords

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