The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Fundamentals of Object Tracking
Abstract
Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems – maneuvering, multiobject, clutter, out-of-sequence sensors – within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.
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Cites
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Cited by
Message Passing Algorithms for Scalable Multitarget Tracking
Meyer, F., Kropfreiter, T., Williams, J. L., Lau, R., Hlawatsch, F., Braca, P., & Win, M. Z. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2789427 · Cited by 355
Advances in intelligent and autonomous navigation systems for small UAS
Bijjahalli, S., Sabatini, R., & Gardi, A. (2020) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2020.100617 · Cited by 123
Long short-term memory-based deep recurrent neural networks for target tracking
Gao, C., Yan, J., Zhou, S., Varshney, P. K., & Liu, H. (2019) · Information Sciences · doi:10.1016/j.ins.2019.06.039 · Cited by 118
Bayesian information fusion and multitarget tracking for maritime situational awareness
Gaglione, D., Soldi, G., Meyer, F., Hlawatsch, F., Braca, P., Farina, A., & Win, M. Z. (2020) · IET Radar, Sonar & Navigation · doi:10.1049/iet-rsn.2019.0508 · Cited by 36
Kong, V., Soeng, S., Thon, M., Cho, W.-S., Nayyar, A., & Kim, T.-K. (2025) · PLOS One · doi:10.1371/journal.pone.0325253 · Cited by 8
Metadata
- Authors
- Challa, S., Morelande, M. R., Mušicki, D., & Evans, R. J.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2011-07-28
- OpenAlex
- W576301840
- Cited by
- 416
- References
- 77
- FWCI
- 5.09
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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