Abstract
Target tracking refers to the process during which the number and states of targets are jointly estimated based on uncertain measurements. Measurement uncertainty includes noise pollution, clutter interference, detection uncertainty, and data association uncertainty.
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Notes
- 1.
For the sake of description, no distinction is made between random variables and their implementations in the book.
- 2.
These criteria may not be applicable to multi-target scenarios.
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Wu, W., Sun, H., Zheng, M., Huang, W. (2023). Single Target Tracking Algorithms. In: Target Tracking with Random Finite Sets. Springer, Singapore. https://doi.org/10.1007/978-981-19-9815-7_2
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DOI: https://doi.org/10.1007/978-981-19-9815-7_2
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9814-0
Online ISBN: 978-981-19-9815-7
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