The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Robust Object Tracking by Hierarchical Association of Detection Responses
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Citations
Cites
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
An algorithm for tracking multiple targets
Reid, D. (1979) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1979.1102177 · Cited by 3,059
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
Yu, Q., Medioni, G., & Cohen, I. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.382991 · Cited by 132
Cited by
You'll never walk alone: Modeling social behavior for multi-target tracking
Pellegrini, S., Ess, A., Schindler, K., & van Gool, L. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459260 · Cited by 1,683
Detection and tracking meet drones challenge
Zhu, P., Wen, L., Du, D., Bian, X., Fan, H., Hu, Q., & Ling, H. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3119563 · Cited by 1,336
Multiple Object Tracking Using K-Shortest Paths Optimization
Berclaz, J., Fleuret, F., Turetken, E., & Fua, P. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.21 · Cited by 1,015
Kitani, K. M., Ziebart, B. D., Bagnell, J. A., & Hebert, M. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33765-9_15 · Cited by 701
Deep learning in video multi-object tracking: A survey
Ciaparrone, G., Luque Sánchez, F., Tabik, S., Troiano, L., Tagliaferri, R., & Herrera, F. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.11.023 · Cited by 665
Metadata
- Authors
- Huang, C., Wu, B., & Nevatia, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 788-801
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2122469558
- Cited by
- 497
- References
- 3
- FWCI
- 19.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Robust Object Tracking by Hierarchical Association of Detection Responses. https://app.cochat.ai/papers/10.1007/978-3-540-88688-4_58
- The paper
- Huang, C., Wu, B., & Nevatia, R. (2008). Robust Object Tracking by Hierarchical Association of Detection Responses. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-88688-4_58
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.