Abstract
In the process of moving target tracking, when the trajectory changes or the target is occluded during the moving process, the traditional tracking algorithm is prone to loss of target tracking or poor tracking effect. This paper proposes an improved algorithm based on the interactive multi-model Kalman filter algorithm. The improved algorithm integrates the interactive multi-model Kalman filter algorithm and the Mean Shift filter algorithm to estimate the position of moving targets, solves the problem of target occlusion, and improves the accuracy of target tracking. Experimental results show that the improved algorithm can locate and track targets quickly and effectively.
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The data that support the findings of this study are available from the corresponding author upon reasonable request
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Acknowledgement
The work is supported by the National Natural Science Foundation of China (No. 61873176), 2021 Zhongying Young Scholars Fund and Extracurricular Academic Research Fund Project of University Students of Soochow University. The authors would like to thank the referees for their constructive comments.
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Wang, Q., Yang, C., Zhu, H., Yu, L. (2022). Interactive Multi-model Kalman Filtering Algorithm Based on Target Tracking. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-16-6328-4_10
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DOI: https://doi.org/10.1007/978-981-16-6328-4_10
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