Cited by 1,289Advanced Image and Video Retrieval TechniquesAdvanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

A Trainable System for Object Detection

Papageorgiou, Constantine, Poggio, Tomaso·2000·International Journal of Computer Vision

Integrity signals

Registry

Crossref · 10.1023/a:1008162616689

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

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  • At early times of object detection, NMS was not always integrated.

    “At early times of object detection, NMS was not always integrated [121].”

    From Object Detection in 20 Years: A Survey (2023) · cites this paper as [121]

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Authors
Papageorgiou, C., & Poggio, T.
Affiliations
Massachusetts Institute of Technology (US)
Venue
International Journal of Computer Vision
Published
2000-06
Volume
38
Issue
1
Pages
15-33
ISSN
  • 0920-5691 (ISSN-L)
  • 1573-1405
OpenAlex
W1608462934
Cited by
1,289
References
34
Citations by year
2026: 6 · 2025: 24 · 2024: 24 · 2023: 36 · 2022: 39 · 2021: 56 · 2020: 27 · 2019: 37 · 2018: 47 · 2017: 55 · 2016: 57 · 2015: 78 · 2014: 98 · 2013: 97 · 2012: 88
FWCI
22.67
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Computer Vision (publishedVersion)
Funders
  • National Science Foundation
  • Massachusetts Institute of Technology
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
Keywords
object detection, Haar wavelet transform, overcomplete dictionary, support vector machine, learning from examples, face detection, human detection, car detection, driver assistance systems, real-time detection, cluttered scenes

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.

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