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Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors

Overview of attention for article published in International Journal of Computer Vision, January 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 1,163)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
18 patents
video
1 YouTube creator

Citations

dimensions_citation
622 Dimensions

Readers on

mendeley
354 Mendeley
citeulike
3 CiteULike
Title
Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors
Published in
International Journal of Computer Vision, January 2007
DOI 10.1007/s11263-006-0027-7
Authors

Bo Wu, Ram Nevatia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 7 2%
Spain 5 1%
Germany 4 1%
United States 4 1%
United Kingdom 4 1%
Brazil 3 <1%
India 2 <1%
Portugal 2 <1%
France 1 <1%
Other 5 1%
Unknown 317 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 130 37%
Student > Master 75 21%
Researcher 47 13%
Student > Bachelor 17 5%
Student > Doctoral Student 13 4%
Other 44 12%
Unknown 28 8%
Readers by discipline Count As %
Computer Science 220 62%
Engineering 82 23%
Psychology 3 <1%
Environmental Science 3 <1%
Physics and Astronomy 2 <1%
Other 6 2%
Unknown 38 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2022.
All research outputs
#1,698,199
of 23,016,919 outputs
Outputs from International Journal of Computer Vision
#29
of 1,163 outputs
Outputs of similar age
#5,396
of 159,378 outputs
Outputs of similar age from International Journal of Computer Vision
#4
of 24 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 159,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.