A novel approach based on spectral-temporal information fusion for multi-target detection

Guoliang Zhang; Chunling Yang; Yan Zhang; Yang Jiao

doi:10.1109/ICIEA.2016.7603852

A novel approach based on spectral-temporal information fusion for multi-target detection

Guoliang Zhang
, Chunling Yang^*
, Yan Zhang
, Yang Jiao

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology
Center of National Defense Science and Technology Industrial Welding Automation Technology Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper describes a novel particle filter-based track-before-detect (TBD) technique for multiple dim moving targets with fluctuating intensity in multi-spectral IR image sequence. The proposed approach consists of a combination of a dimension reduction of multi-spectral and a particle filter. In our novel algorithm, a generallized likelihood ratio test (GLRT) method is first applied to the original multi-spectral IR image to reduce dimension and provide the priori of targets. A TBD method based on particle filtering is then applied to the sequence obtained from dimension reduction of raw multi-spectral IR image. Experimental results are presented for the proposed algorithm for detecting and tracking three dim moving targets with varying intensity in multi-spectral IR image sequence of 20 bands and 30 frames. The results show that the proposed algorithm can detect and track multi-targets with a signal-to-noise ratio (SNR) as low as 3dB.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1661-1665
Number of pages	5
ISBN (Electronic)	9781509026050
DOIs	https://doi.org/10.1109/ICIEA.2016.7603852
State	Published - 19 Oct 2016
Externally published	Yes
Event	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China Duration: 5 Jun 2016 → 7 Jun 2016

Publication series

Name	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

Conference

Conference	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Country/Territory	China
City	Hefei
Period	5/06/16 → 7/06/16

Keywords

multi-spectral IR image
multiple fluctuating dim targets
particle filtering
track-before-detect

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10.1109/ICIEA.2016.7603852

Cite this

Zhang, G., Yang, C., Zhang, Y., & Jiao, Y. (2016). A novel approach based on spectral-temporal information fusion for multi-target detection. In Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 (pp. 1661-1665). Article 7603852 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2016.7603852

Zhang, Guoliang ; Yang, Chunling ; Zhang, Yan et al. / A novel approach based on spectral-temporal information fusion for multi-target detection. Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1661-1665 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

@inproceedings{b518fa675b4c4841bb378fec145f8dca,

title = "A novel approach based on spectral-temporal information fusion for multi-target detection",

abstract = "This paper describes a novel particle filter-based track-before-detect (TBD) technique for multiple dim moving targets with fluctuating intensity in multi-spectral IR image sequence. The proposed approach consists of a combination of a dimension reduction of multi-spectral and a particle filter. In our novel algorithm, a generallized likelihood ratio test (GLRT) method is first applied to the original multi-spectral IR image to reduce dimension and provide the priori of targets. A TBD method based on particle filtering is then applied to the sequence obtained from dimension reduction of raw multi-spectral IR image. Experimental results are presented for the proposed algorithm for detecting and tracking three dim moving targets with varying intensity in multi-spectral IR image sequence of 20 bands and 30 frames. The results show that the proposed algorithm can detect and track multi-targets with a signal-to-noise ratio (SNR) as low as 3dB.",

keywords = "multi-spectral IR image, multiple fluctuating dim targets, particle filtering, track-before-detect",

author = "Guoliang Zhang and Chunling Yang and Yan Zhang and Yang Jiao",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",

year = "2016",

month = oct,

day = "19",

doi = "10.1109/ICIEA.2016.7603852",

language = "英语",

series = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1661--1665",

booktitle = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

address = "美国",

}

Zhang, G, Yang, C , Zhang, Y & Jiao, Y 2016, A novel approach based on spectral-temporal information fusion for multi-target detection. in Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016., 7603852, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1661-1665, 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016, Hefei, China, 5/06/16. https://doi.org/10.1109/ICIEA.2016.7603852

A novel approach based on spectral-temporal information fusion for multi-target detection. / Zhang, Guoliang; Yang, Chunling ; Zhang, Yan et al.
Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1661-1665 7603852 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A novel approach based on spectral-temporal information fusion for multi-target detection

AU - Zhang, Guoliang

AU - Yang, Chunling

AU - Zhang, Yan

AU - Jiao, Yang

PY - 2016/10/19

Y1 - 2016/10/19

N2 - This paper describes a novel particle filter-based track-before-detect (TBD) technique for multiple dim moving targets with fluctuating intensity in multi-spectral IR image sequence. The proposed approach consists of a combination of a dimension reduction of multi-spectral and a particle filter. In our novel algorithm, a generallized likelihood ratio test (GLRT) method is first applied to the original multi-spectral IR image to reduce dimension and provide the priori of targets. A TBD method based on particle filtering is then applied to the sequence obtained from dimension reduction of raw multi-spectral IR image. Experimental results are presented for the proposed algorithm for detecting and tracking three dim moving targets with varying intensity in multi-spectral IR image sequence of 20 bands and 30 frames. The results show that the proposed algorithm can detect and track multi-targets with a signal-to-noise ratio (SNR) as low as 3dB.

AB - This paper describes a novel particle filter-based track-before-detect (TBD) technique for multiple dim moving targets with fluctuating intensity in multi-spectral IR image sequence. The proposed approach consists of a combination of a dimension reduction of multi-spectral and a particle filter. In our novel algorithm, a generallized likelihood ratio test (GLRT) method is first applied to the original multi-spectral IR image to reduce dimension and provide the priori of targets. A TBD method based on particle filtering is then applied to the sequence obtained from dimension reduction of raw multi-spectral IR image. Experimental results are presented for the proposed algorithm for detecting and tracking three dim moving targets with varying intensity in multi-spectral IR image sequence of 20 bands and 30 frames. The results show that the proposed algorithm can detect and track multi-targets with a signal-to-noise ratio (SNR) as low as 3dB.

KW - multi-spectral IR image

KW - multiple fluctuating dim targets

KW - particle filtering

KW - track-before-detect

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BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Zhang G, Yang C , Zhang Y, Jiao Y. A novel approach based on spectral-temporal information fusion for multi-target detection. In Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1661-1665. 7603852. (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016). doi: 10.1109/ICIEA.2016.7603852

A novel approach based on spectral-temporal information fusion for multi-target detection

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