A fast target tracking algorithm basted on connected component labeling and grey value statistics

Qing Liu; Linbo Tang; Baojun Zhao; Jingle Sun

doi:10.2991/iccasm.2012.323

A fast target tracking algorithm basted on connected component labeling and grey value statistics

Qing Liu^*
, Linbo Tang
, Baojun Zhao
, Jingle Sun

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

A fast target tracking algorithm based on connected component labeling and grey value statistics is proposed. First of all, nonlinear transformation is applied to perform enhancement for targets; and then adaptive threshold is applied to perform pre-processing division for the images; finally, target characteristics which are extracted through connected component labeling and grey value statistics are used to match the gray, the area and position of target, then pinpointing the target. Experimental results on the MATLAB software platform and the SOPC hardware platform show that it can perform real-time track accurately for the infrared small targets.

Original language	English
Title of host publication	Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012
Publisher	Atlantis Press
Pages	1267-1270
Number of pages	4
ISBN (Print)	9789491216008
DOIs	https://doi.org/10.2991/iccasm.2012.323
Publication status	Published - 2012
Event	2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012 - Shenyang, China Duration: 27 Jul 2012 → 29 Jul 2012

Publication series

Name	Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012

Conference

Conference	2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012
Country/Territory	China
City	Shenyang
Period	27/07/12 → 29/07/12

Keywords

Connected component labeling
Grey value statistics
Infrared small target
Real-time performance

Access to Document

10.2991/iccasm.2012.323

Cite this

Liu, Q., Tang, L., Zhao, B., & Sun, J. (2012). A fast target tracking algorithm basted on connected component labeling and grey value statistics. In Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012 (pp. 1267-1270). (Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012). Atlantis Press. https://doi.org/10.2991/iccasm.2012.323

Liu, Qing ; Tang, Linbo ; Zhao, Baojun et al. / A fast target tracking algorithm basted on connected component labeling and grey value statistics. Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012. Atlantis Press, 2012. pp. 1267-1270 (Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012).

@inproceedings{fcdfd0753d9041c4b02478298eeda691,

title = "A fast target tracking algorithm basted on connected component labeling and grey value statistics",

abstract = "A fast target tracking algorithm based on connected component labeling and grey value statistics is proposed. First of all, nonlinear transformation is applied to perform enhancement for targets; and then adaptive threshold is applied to perform pre-processing division for the images; finally, target characteristics which are extracted through connected component labeling and grey value statistics are used to match the gray, the area and position of target, then pinpointing the target. Experimental results on the MATLAB software platform and the SOPC hardware platform show that it can perform real-time track accurately for the infrared small targets.",

keywords = "Connected component labeling, Grey value statistics, Infrared small target, Real-time performance",

author = "Qing Liu and Linbo Tang and Baojun Zhao and Jingle Sun",

year = "2012",

doi = "10.2991/iccasm.2012.323",

language = "English",

isbn = "9789491216008",

series = "Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012",

publisher = "Atlantis Press",

pages = "1267--1270",

booktitle = "Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012",

note = "2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012 ; Conference date: 27-07-2012 Through 29-07-2012",

}

Liu, Q, Tang, L, Zhao, B & Sun, J 2012, A fast target tracking algorithm basted on connected component labeling and grey value statistics. in Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012. Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012, Atlantis Press, pp. 1267-1270, 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, Shenyang, China, 27/07/12. https://doi.org/10.2991/iccasm.2012.323

A fast target tracking algorithm basted on connected component labeling and grey value statistics. / Liu, Qing; Tang, Linbo; Zhao, Baojun et al.
Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012. Atlantis Press, 2012. p. 1267-1270 (Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012).

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

TY - GEN

T1 - A fast target tracking algorithm basted on connected component labeling and grey value statistics

AU - Liu, Qing

AU - Tang, Linbo

AU - Zhao, Baojun

AU - Sun, Jingle

PY - 2012

Y1 - 2012

N2 - A fast target tracking algorithm based on connected component labeling and grey value statistics is proposed. First of all, nonlinear transformation is applied to perform enhancement for targets; and then adaptive threshold is applied to perform pre-processing division for the images; finally, target characteristics which are extracted through connected component labeling and grey value statistics are used to match the gray, the area and position of target, then pinpointing the target. Experimental results on the MATLAB software platform and the SOPC hardware platform show that it can perform real-time track accurately for the infrared small targets.

AB - A fast target tracking algorithm based on connected component labeling and grey value statistics is proposed. First of all, nonlinear transformation is applied to perform enhancement for targets; and then adaptive threshold is applied to perform pre-processing division for the images; finally, target characteristics which are extracted through connected component labeling and grey value statistics are used to match the gray, the area and position of target, then pinpointing the target. Experimental results on the MATLAB software platform and the SOPC hardware platform show that it can perform real-time track accurately for the infrared small targets.

KW - Connected component labeling

KW - Grey value statistics

KW - Infrared small target

KW - Real-time performance

UR - https://www.scopus.com/pages/publications/84866685013

U2 - 10.2991/iccasm.2012.323

DO - 10.2991/iccasm.2012.323

M3 - Conference contribution

AN - SCOPUS:84866685013

SN - 9789491216008

T3 - Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012

SP - 1267

EP - 1270

BT - Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012

PB - Atlantis Press

T2 - 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012

Y2 - 27 July 2012 through 29 July 2012

ER -

Liu Q, Tang L, Zhao B, Sun J. A fast target tracking algorithm basted on connected component labeling and grey value statistics. In Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012. Atlantis Press. 2012. p. 1267-1270. (Proceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012). doi: 10.2991/iccasm.2012.323

A fast target tracking algorithm basted on connected component labeling and grey value statistics

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Keywords

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