Target detection via HSV color model and edge gradient information in infrared and visible image sequences under complicated background

  • Jiaxiao Song
  • Lei Liu
  • Wei Huang
  • Yefei Li
  • Xu Chen
  • Zhuang Zhang
Article
  • 26 Downloads

Abstract

Target detection has an extremely wide range of applications and great significance in civil and military fields. Nevertheless, with the increasing complexity of application environments, traditional methods cannot satisfy the requirements of the application in some aspects. In this paper, an improved infrared and visible target detection method under complicated background is proposed, which makes some innovations to traditional methods. Firstly, edge gradient information is utilized to prevent the slow-moving target or long-time stationary target from being incorporated into the background gradually. Meanwhile, HSV color model is employed to remove shadows. Moreover, in this paper, the problem of ghosting has also been improved. Finally, the strategy of discarding small targets and repairing holes is utilized to perfect the detection results. Experimental results demonstrate that the presented method can effectively improve the defects of traditional methods, and it simultaneously has better robustness for infrared or visible moving object detection under complicated background.

Keywords

Target detection Edge information HSV color model Shadow detection Infrared and visible image 

Notes

Acknowledgements

This work is sponsored by Qing Lan Project of Jiangsu Province-China, the Fundamental Research Funds for the Central Universities-China (Grant No. 30916011206) and the Six Talent Peaks Project in Jiangsu Province-China (Grant No. 2015-XCL-008).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jiaxiao Song
    • 1
  • Lei Liu
    • 1
  • Wei Huang
    • 1
  • Yefei Li
    • 1
  • Xu Chen
    • 1
  • Zhuang Zhang
    • 1
  1. 1.Department of Optoelectronic Technology, School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjingChina

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