An Object Tracking Algorithm with Channel Reliability and Target Response Adaptation

Peng WANG; Mengyu SUN; Haiyan WANG; Xiaoyan LI; Zhigang LÜ

doi:10.11999/JEIT190569

Volume 42 Issue 8

Aug. 2020

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Peng WANG, Mengyu SUN, Haiyan WANG, Xiaoyan LI, Zhigang LÜ. An Object Tracking Algorithm with Channel Reliability and Target Response Adaptation[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1950-1958. doi: 10.11999/JEIT190569

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Peng WANG, Mengyu SUN, Haiyan WANG, Xiaoyan LI, Zhigang LÜ. An Object Tracking Algorithm with Channel Reliability and Target Response Adaptation[J]. Journal of Electronics & Information Technology, 2020, 42(8): 1950-1958. doi: 10.11999/JEIT190569

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An Object Tracking Algorithm with Channel Reliability and Target Response Adaptation

doi: 10.11999/JEIT190569

Peng WANG^{1, 2, 3},
Mengyu SUN^{2
,
,},
Haiyan WANG⁴,
Xiaoyan LI²,
Zhigang LÜ²

1.
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
2.
School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China
3.
Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology, Xi’an 710072, China
4.
School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an 710021, China

Funds: The National Natural Science Foundation of China (61271362),The National Key Research and Development Project (2016YFC1400200), The Key Science and Technology Program of Shaanxi Province (2019GY-022, 2019GY-066), Weiyang District of Xi’an 2019 Science and Technology Program (201923)

Received Date: 2019-07-29
Rev Recd Date: 2020-03-25

Available Online: 2020-04-03

Publish Date: 2020-08-18

Abstract

Abstract

In order to solve the problems of lower precision of target location in short-term occlusion and inaccurate of scale estimation of target in rotation by Spatial-Temporal Regularized Correlation Filters (STRCF), an object tracking algorithm with channel reliability and target response adaptation is proposed in this paper. In this algorithm, target response regularization is added to train target model. By updating the ideal target response function in the process of solving model, the target can be tracked again after being occluded for a short time. The reliability of each feature channel is evaluated by coefficient of channel reliability, which can improves the model's expression of the target. Scale filters can be trained in log-polar coordinates to improve the accuracy of scale estimation when target is rotating. The experimental results show that the proposed algorithm reduces 28.54 pixels in the average center position error and improves the average overlap rate by 22.8% compared with STRCF.
- Object tracking,
- Correlation filter,
- Target response adaptation,
- Channel reliability,
- Scale correlation filter

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References(15)

References

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