The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Consistent Metric for Performance Evaluation of Multi-Object Filters
Abstract
The concept of a miss-distance, or error, between a reference quantity and its estimated/controlled value, plays a fundamental role in any filtering/control problem. Yet there is no satisfactory notion of a miss-distance in the well-established field of multi-object filtering. In this paper, we outline the inconsistencies of existing metrics in the context of multi-object miss-distances for performance evaluation. We then propose a new mathematically and intuitively consistent metric that addresses the drawbacks of current multi-object performance evaluation metrics.
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Citations
Cites
Simultaneous localization and mapping: part I
Durrant-Whyte, H., & Bailey, T. (2006) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2006.1638022 · Cited by 4,199
Cited by
Multisensor data fusion: A review of the state-of-the-art
Khaleghi, B., Khamis, A., Karray, F. O., & Razavi, S. N. (2013) · Information Fusion · doi:10.1016/j.inffus.2011.08.001 · Cited by 2,074
MOT16: A Benchmark for Multi-Object Tracking
Milan, A., Leal-Taixe, L., Reid, I., Roth, S., & Schindler, K. (2016) · arXiv · doi:10.48550/arxiv.1603.00831 · Cited by 1,309
“In the past, a large number of metrics for quantitative evaluation of multiple target tracking have been proposed [8], [30], [38], [40], [41], [46].”
BackgroundThe cardinality balanced multi-target multi-Bernoulli filter and its implementations
Vo, B.-T., Vo, B.-N., & Cantoni, A. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.2007924 · Cited by 851
Self-citationMOT20: A benchmark for multi object tracking in crowded scenes
Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., & Leal-Taixé, L. (2020) · arXiv · doi:10.48550/arxiv.2003.09003 · Cited by 779
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., Roth, S., & Leal-Taixé, L. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01393-0 · Cited by 374
Metadata
- Authors
- Schuhmacher, D., Vo, B.-T., & Vo, B.-N.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2008-08
- Volume
- 56
- Issue
- 8
- Pages
- 3447-3457
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2126885789
- Cited by
- 1,855
- References
- 1
- FWCI
- 51.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Schuhmacher, D., Vo, B.-T., & Vo, B.-N. (2008). A Consistent Metric for Performance Evaluation of Multi-Object Filters. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2008.920469
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