Adaptive Spatial and Anomaly Target Tracking

JIANG Wentao; LIU Xiaoxuan; TU Chao; JIN Yan

doi:10.11999/JEIT201025

Volume 44 Issue 2

Feb. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(2): 523-533

JIANG Wentao, LIU Xiaoxuan, TU Chao, JIN Yan. Adaptive Spatial and Anomaly Target Tracking[J]. Journal of Electronics & Information Technology, 2022, 44(2): 523-533. doi: 10.11999/JEIT201025

Citation:

JIANG Wentao, LIU Xiaoxuan, TU Chao, JIN Yan. Adaptive Spatial and Anomaly Target Tracking[J]. Journal of Electronics & Information Technology, 2022, 44(2): 523-533. doi: 10.11999/JEIT201025

JIANG Wentao, LIU Xiaoxuan, TU Chao, JIN Yan. Adaptive Spatial and Anomaly Target Tracking[J]. Journal of Electronics & Information Technology, 2022, 44(2): 523-533. doi: 10.11999/JEIT201025

Citation:

JIANG Wentao, LIU Xiaoxuan, TU Chao, JIN Yan. Adaptive Spatial and Anomaly Target Tracking[J]. Journal of Electronics & Information Technology, 2022, 44(2): 523-533. doi: 10.11999/JEIT201025

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Adaptive Spatial and Anomaly Target Tracking

doi: 10.11999/JEIT201025

School of Software, Liaoning Technical University, Huludao 125105, China

Funds: The National Natural Science Foundation of China (61172144), The National Natural Science Foundation of Liaoning Province (20170540426), The Foundation of Education Department of Liaoning Province (LJYL049)

Received Date: 2020-12-07
Rev Recd Date: 2021-08-14

Available Online: 2021-09-15

Publish Date: 2022-02-25

Abstract

Abstract

In order to solve the problem that the target tracking algorithm based on the discriminant spatial regularization term has a high mistracking rate under the interference of occlusion, rotation and other factors, an adaptive spatial and anomaly target tracking is proposed. Firstly, an adaptive spatial regularization term is constructed in the objective function, which not only alleviates the influence of boundary effect, but also improves the resolution of the filter between the target and the background region. Secondly, the verification score is calculated according to the response value of each frame, and the reliability and abnormality of the tracking results are analyzed. Finally, the updating rate of target model and response model is dynamically evaluated. A large number of experimental results show that the target tracking algorithm based on adaptive spatial anomaly can deal with background blur, shape change and other abnormal situations well, and has robust tracking performance.
- Target tracking,
- Adaptive space regular term,
- Anomaly analysis,
- Dynamic update

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References(22)

References

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