Tracking of infrared dim small target in complex sky background

Zhao Dong; Zhou Huixin; Yu Junna; Wang Shicheng; Qin Hanlin; Cheng Kuanhong

doi:10.11884/HPLPB201830.170511

Volume 30 Issue 6

Jun. 2018

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Article Navigation > High Power Laser and Particle Beams > 2018 > 30(6): 061002

Zhao Dong, Zhou Huixin, Yu Junna, et al. Tracking of infrared dim small target in complex sky background[J]. High Power Laser and Particle Beams, 2018, 30: 061002. doi: 10.11884/HPLPB201830.170511

Citation:

Zhao Dong, Zhou Huixin, Yu Junna, et al. Tracking of infrared dim small target in complex sky background[J]. High Power Laser and Particle Beams, 2018, 30: 061002. doi: 10.11884/HPLPB201830.170511

Zhao Dong, Zhou Huixin, Yu Junna, et al. Tracking of infrared dim small target in complex sky background[J]. High Power Laser and Particle Beams, 2018, 30: 061002. doi: 10.11884/HPLPB201830.170511

Citation:

Zhao Dong, Zhou Huixin, Yu Junna, et al. Tracking of infrared dim small target in complex sky background[J]. High Power Laser and Particle Beams, 2018, 30: 061002. doi: 10.11884/HPLPB201830.170511

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Tracking of infrared dim small target in complex sky background

doi: 10.11884/HPLPB201830.170511

1.
School of Technical Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China
2.
The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China

Received Date: 2017-12-19
Rev Recd Date: 2018-02-09
Publish Date: 2018-06-15

Abstract

Abstract

The complex sky cloud background edge and infrared dim small target cannot be distinguished using traditional tracking algorithms, and the "deviation" problem is produced when tracking the target. To solve this problem, this paper proposes a target tracking algorithm based on Gaussian curvature filter (GCF) and spatio-temporal context (STC) after introducing the STC theory and analyzing the reason of "deviation". First of all, the context areas are dealt with GCF which can reserve the image edge and eliminate the noise and the infrared dim small target, so as to obtain the infrared dim small target's accurate confidence map. Then the infrared dim small target's coordinates are confirmed by the confidence map. Four groups of the infrared dim small target sequences in the complex sky background experimental results prove that the proposed algorithm is effective, compared with several classical algorithms, such as TMT, MS-PF and FCT. The proposed algorithm has better performance than the three traditional algorithms on subjective vision and objective evaluating indicator and shows higher tracking accuracy and better real time performance. The infrared dim small target in complex sky cloud background can be effectively tracked with this algorithm.
- target tracking,
- infrared dim small target,
- Gaussian curvature filter,
- spatio-temporal context,
- Fourier transform

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References(15)

References

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