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CONDENSATION—Conditional Density Propagation for Visual Tracking
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“Although object tracking has been studied for several decades, and much progress has been made in recent years [28, 16, 47, 5, 40, 26, 19], it remains a very challenging problem.”
From Object Tracking Benchmark (2015) · cites this paper as [28]
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Metadata
- Authors
- Isard, M., & Blake, A.
- Affiliations
- University of Oxford (GB)
- ORCID
- Blake, Andrew
- Venue
- International Journal of Computer Vision
- Published
- 1998-08
- Volume
- 29
- Issue
- 1
- Pages
- 5-28
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2161406034
- Cited by
- 4,886
- References
- 55
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 17 · 2023: 17 · 2022: 29 · 2021: 39 · 2020: 44 · 2019: 61 · 2018: 77 · 2017: 133 · 2016: 152 · 2015: 200 · 2014: 268 · 2013: 298 · 2012: 319
- FWCI
- 53.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- visual object tracking, curve tracking, condensation algorithm, non-Gaussian distributions, multiple hypothesis tracking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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