Cited by 15Video Surveillance and Tracking MethodsAdvanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Pedestrian tracking by learning deep features

Huang, Honghe, Xu, Yi, Huang, Yanjie, Yang, Qian, Zhou, Zhiguo·2018·Journal of Visual Communication and Image Representation

Integrity signals

Registry

Crossref · 10.1016/j.jvcir.2018.11.001

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Optical flow algorithms are more suitable than frame differencing for dynamically changing environments and can process complex motion patterns.

    “The frame differencing and optical flow algorithms both compare consecutive frames to detect changes in pixel values, but optical flow algorithms are more suitable for dynamically changing environments, which can process complex motion patterns [69][70][71].”

    From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [70]

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2 of the 29 references couldn’t be matched to a known paper.

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Authors
Huang, H., Xu, Y., Huang, Y., Yang, Q., & Zhou, Z.
Affiliations
State Grid Corporation of China (China) (CN)
Corresponding author
Huang, Honghe
Venue
Journal of Visual Communication and Image Representation
Publisher
Elsevier BV
Published
2018-11
Volume
57
Pages
172-175
ISSN
1047-3203 (ISSN-L)
OpenAlex
W2899001800
Cited by
15
References
29
Citations by year
2026: 1 · 2024: 1 · 2023: 9 · 2022: 1 · 2020: 1 · 2019: 2
FWCI
0.38
Type
journal article
Language
en
Open access
closed
Locations
Journal of Visual Communication and Image Representation (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
pedestrian tracking, deep features, convolutional neural networks, optical flow, video surveillance, pedestrian detection, illumination robustness

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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