Cited by 4,886Video Surveillance and Tracking MethodsTarget Tracking and Data Fusion in Sensor NetworksAdvanced Vision and Imaging

CONDENSATION—Conditional Density Propagation for Visual Tracking

Isard, Michael, Blake, Andrew·1998·International Journal of Computer Vision

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  • Although object tracking has been studied for several decades, and much progress has been made in recent years, it remains a very challenging problem.

    “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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References 55 · Cited by 4,886

Authors
Isard, M., & Blake, A.
Affiliations
University of Oxford (GB)
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
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

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