Method

cv::pyrLK [PyrLK]
https://gist.github.com/matt-42/881c84d4dee4cd32e7b1bf3e4c35d301

Submitted on 20 Sep. 2016 10:41 by
Matthieu Garrigues (ENSTA-ParisTech)

Running time:1.3 s
Environment:4 cores @ 3.5 Ghz (C/C++)

Method Description:
cv::calcOpticalFlowPyrLK implements the pyramidal
version of the Lukas Kanade optical flow.

More info in the documentation:
http://docs.opencv.org/2.4/modules/video/doc/motion
_analysis_and_object_tracking.html
Parameters:
\winsize = 11
\nscales = 4
Latex Bibtex:
@article{bouguet2001pyramidal,
title={Pyramidal implementation of the affine lucas
kanade feature tracker description of the algorithm},
author={Bouguet, Jean-Yves}
}

Detailed Results

This page provides detailed results for the method(s) selected. For each of the first 20 test images, the number of erroneous pixels at all thresholds is depicted in the table. Underneath, the left input image, the disparity / end-point error map and the estimated (and interpolated) disparity / optical flow map are shown. The error map scales linearly between 0 (black) and >=5 (white) pixels error. Red denotes all occluded pixels, falling outside the image boundaries. The false color map is scaled to the largest ground truth disparity / flow value.

Test Set Average

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 34.90 % 43.13 % 15.6 px 29.6 px
3 pixels 31.48 % 40.08 % 15.6 px 29.6 px
4 pixels 29.35 % 38.14 % 15.6 px 29.6 px
5 pixels 27.69 % 36.59 % 15.6 px 29.6 px
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Reflective Regions

This table as LaTeX

Test Image 0

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 25.03 % 35.92 % 9.1 px 17.0 px
3 pixels 22.99 % 34.07 % 9.1 px 17.0 px
4 pixels 21.32 % 32.56 % 9.1 px 17.0 px
5 pixels 19.92 % 31.26 % 9.1 px 17.0 px
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Test Image 1

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 25.41 % 35.16 % 6.8 px 13.8 px
3 pixels 22.30 % 32.19 % 6.8 px 13.8 px
4 pixels 20.48 % 30.37 % 6.8 px 13.8 px
5 pixels 19.17 % 28.99 % 6.8 px 13.8 px
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Test Image 2

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 34.11 % 44.47 % 18.1 px 35.1 px
3 pixels 31.33 % 42.00 % 18.1 px 35.1 px
4 pixels 29.61 % 40.43 % 18.1 px 35.1 px
5 pixels 28.29 % 39.22 % 18.1 px 35.1 px
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Test Image 3

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 32.93 % 43.88 % 11.1 px 29.8 px
3 pixels 28.46 % 40.07 % 11.1 px 29.8 px
4 pixels 25.56 % 37.60 % 11.1 px 29.8 px
5 pixels 23.18 % 35.53 % 11.1 px 29.8 px
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Test Image 4

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 38.31 % 42.98 % 12.1 px 17.3 px
3 pixels 34.81 % 39.53 % 12.1 px 17.3 px
4 pixels 32.39 % 37.09 % 12.1 px 17.3 px
5 pixels 30.26 % 35.03 % 12.1 px 17.3 px
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Test Image 5

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 30.89 % 41.61 % 14.8 px 37.9 px
3 pixels 27.33 % 38.41 % 14.8 px 37.9 px
4 pixels 25.30 % 36.53 % 14.8 px 37.9 px
5 pixels 23.78 % 35.10 % 14.8 px 37.9 px
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Test Image 6

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 26.51 % 36.15 % 6.5 px 13.5 px
3 pixels 23.09 % 33.10 % 6.5 px 13.5 px
4 pixels 20.91 % 31.14 % 6.5 px 13.5 px
5 pixels 19.38 % 29.72 % 6.5 px 13.5 px
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Test Image 7

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 34.34 % 45.01 % 11.4 px 27.5 px
3 pixels 29.98 % 41.19 % 11.4 px 27.5 px
4 pixels 27.24 % 38.76 % 11.4 px 27.5 px
5 pixels 25.27 % 36.94 % 11.4 px 27.5 px
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Test Image 8

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 23.38 % 36.96 % 7.9 px 22.7 px
3 pixels 19.95 % 33.97 % 7.9 px 22.7 px
4 pixels 18.17 % 32.36 % 7.9 px 22.7 px
5 pixels 16.77 % 31.06 % 7.9 px 22.7 px
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Test Image 9

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 48.59 % 56.42 % 20.7 px 47.2 px
3 pixels 44.04 % 52.46 % 20.7 px 47.2 px
4 pixels 40.70 % 49.50 % 20.7 px 47.2 px
5 pixels 38.06 % 47.15 % 20.7 px 47.2 px
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Test Image 10

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 28.08 % 40.56 % 13.1 px 41.3 px
3 pixels 24.68 % 37.66 % 13.1 px 41.3 px
4 pixels 22.57 % 35.84 % 13.1 px 41.3 px
5 pixels 20.96 % 34.44 % 13.1 px 41.3 px
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Test Image 11

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 36.07 % 45.71 % 14.2 px 26.8 px
3 pixels 30.74 % 40.91 % 14.2 px 26.8 px
4 pixels 27.45 % 37.89 % 14.2 px 26.8 px
5 pixels 25.18 % 35.71 % 14.2 px 26.8 px
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Test Image 12

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 32.76 % 43.35 % 10.4 px 32.8 px
3 pixels 29.57 % 40.65 % 10.4 px 32.8 px
4 pixels 27.21 % 38.64 % 10.4 px 32.8 px
5 pixels 25.02 % 36.77 % 10.4 px 32.8 px
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Test Image 13

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 37.08 % 44.61 % 12.5 px 25.5 px
3 pixels 34.36 % 42.19 % 12.5 px 25.5 px
4 pixels 32.15 % 40.21 % 12.5 px 25.5 px
5 pixels 30.03 % 38.30 % 12.5 px 25.5 px
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Test Image 14

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 49.19 % 57.80 % 22.4 px 37.1 px
3 pixels 45.62 % 54.82 % 22.4 px 37.1 px
4 pixels 42.99 % 52.62 % 22.4 px 37.1 px
5 pixels 40.78 % 50.74 % 22.4 px 37.1 px
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Test Image 15

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 49.59 % 58.20 % 18.0 px 42.1 px
3 pixels 44.49 % 53.88 % 18.0 px 42.1 px
4 pixels 41.14 % 50.98 % 18.0 px 42.1 px
5 pixels 38.68 % 48.81 % 18.0 px 42.1 px
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Test Image 16

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 8.15 % 16.61 % 7.4 px 20.3 px
3 pixels 6.86 % 15.16 % 7.4 px 20.3 px
4 pixels 6.38 % 14.60 % 7.4 px 20.3 px
5 pixels 6.09 % 14.21 % 7.4 px 20.3 px
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Test Image 17

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 26.82 % 37.87 % 7.6 px 19.3 px
3 pixels 23.39 % 34.69 % 7.6 px 19.3 px
4 pixels 21.44 % 32.74 % 7.6 px 19.3 px
5 pixels 19.74 % 31.03 % 7.6 px 19.3 px
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Test Image 18

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 24.30 % 31.82 % 7.1 px 13.8 px
3 pixels 22.62 % 30.24 % 7.1 px 13.8 px
4 pixels 21.63 % 29.31 % 7.1 px 13.8 px
5 pixels 20.85 % 28.57 % 7.1 px 13.8 px
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Test Image 19

Error Out-Noc Out-All Avg-Noc Avg-All
2 pixels 39.78 % 46.59 % 20.4 px 26.5 px
3 pixels 37.77 % 44.57 % 20.4 px 26.5 px
4 pixels 36.50 % 43.19 % 20.4 px 26.5 px
5 pixels 35.31 % 41.88 % 20.4 px 26.5 px
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