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Visual tracking of numerous targets via multi-Bernoulli filtering of image data

Overview of attention for article published in Pattern Recognition, October 2012
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Mentioned by

video
1 YouTube creator

Citations

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131 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Visual tracking of numerous targets via multi-Bernoulli filtering of image data
Published in
Pattern Recognition, October 2012
DOI 10.1016/j.patcog.2012.04.004
Authors

Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 3%
United States 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 34%
Researcher 9 15%
Student > Master 6 10%
Student > Bachelor 3 5%
Other 3 5%
Other 7 11%
Unknown 12 20%
Readers by discipline Count As %
Engineering 24 39%
Computer Science 17 28%
Sports and Recreations 2 3%
Psychology 1 2%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 15 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 January 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Pattern Recognition
#2,511
of 2,901 outputs
Outputs of similar age
#171,292
of 190,995 outputs
Outputs of similar age from Pattern Recognition
#22
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,901 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 190,995 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.