## Method

Pyramidal Lucas Kanade [Pyramid-LK]
http://www.mathworks.com/matlabcentral/fileexchange/23142-iterative-pyramidal-lk-optical-flow

Submitted on 23 Feb. 2012 15:36 by
Andreas Geiger (MPI Tübingen)

 Running time: 1.5 min Environment: 1 core @ 2.5 Ghz (Matlab)

 Method Description: Computes optical flow using pyramid decomposition and iterative refinement via Lucas Kanade optimization. Parameters: winSize = 5;ITER_NO = 5;PYRE_NO = 5; Latex Bibtex: @ARTICLE{Bouguet00, author = {Jean-yves Bouguet}, title = {Pyramidal implementation of the Lucas Kanade feature tracker}, journal = {Intel}, year = {2000}}

## 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 72.57 % 76.01 % 21.8 px 33.2 px 3 pixels 65.81 % 70.16 % 21.8 px 33.2 px 4 pixels 61.05 % 66.04 % 21.8 px 33.2 px 5 pixels 57.27 % 62.77 % 21.8 px 33.2 px
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## Test Image 0

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 77.10 % 80.48 % 25.2 px 33.9 px 3 pixels 71.85 % 76.00 % 25.2 px 33.9 px 4 pixels 67.77 % 72.52 % 25.2 px 33.9 px 5 pixels 64.34 % 69.60 % 25.2 px 33.9 px
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## Test Image 1

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 67.21 % 71.78 % 16.5 px 24.1 px 3 pixels 58.94 % 64.66 % 16.5 px 24.1 px 4 pixels 53.56 % 60.04 % 16.5 px 24.1 px 5 pixels 49.56 % 56.59 % 16.5 px 24.1 px
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## Test Image 2

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 70.71 % 75.38 % 21.4 px 33.4 px 3 pixels 64.79 % 70.40 % 21.4 px 33.4 px 4 pixels 60.61 % 66.89 % 21.4 px 33.4 px 5 pixels 57.26 % 64.07 % 21.4 px 33.4 px
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## Test Image 3

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 67.87 % 73.21 % 21.2 px 33.3 px 3 pixels 59.28 % 66.03 % 21.2 px 33.3 px 4 pixels 53.66 % 61.32 % 21.2 px 33.3 px 5 pixels 49.34 % 57.70 % 21.2 px 33.3 px
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## Test Image 4

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 75.24 % 77.37 % 18.0 px 23.9 px 3 pixels 66.68 % 69.55 % 18.0 px 23.9 px 4 pixels 60.42 % 63.82 % 18.0 px 23.9 px 5 pixels 55.32 % 59.16 % 18.0 px 23.9 px
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## Test Image 5

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 59.46 % 65.90 % 21.2 px 35.1 px 3 pixels 51.94 % 59.58 % 21.2 px 35.1 px 4 pixels 47.30 % 55.66 % 21.2 px 35.1 px 5 pixels 43.98 % 52.87 % 21.2 px 35.1 px
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## Test Image 6

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 57.73 % 63.40 % 14.3 px 27.4 px 3 pixels 49.78 % 56.51 % 14.3 px 27.4 px 4 pixels 44.90 % 52.28 % 14.3 px 27.4 px 5 pixels 41.32 % 49.18 % 14.3 px 27.4 px
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## Test Image 7

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 65.05 % 70.84 % 16.4 px 30.2 px 3 pixels 56.34 % 63.58 % 16.4 px 30.2 px 4 pixels 50.79 % 58.94 % 16.4 px 30.2 px 5 pixels 46.44 % 55.31 % 16.4 px 30.2 px
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## Test Image 8

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 66.09 % 72.16 % 19.6 px 35.8 px 3 pixels 58.46 % 65.89 % 19.6 px 35.8 px 4 pixels 53.52 % 61.82 % 19.6 px 35.8 px 5 pixels 49.73 % 58.70 % 19.6 px 35.8 px
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## Test Image 9

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 73.51 % 77.62 % 19.0 px 31.3 px 3 pixels 65.41 % 70.77 % 19.0 px 31.3 px 4 pixels 59.55 % 65.82 % 19.0 px 31.3 px 5 pixels 55.10 % 62.06 % 19.0 px 31.3 px
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## Test Image 10

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 69.73 % 75.07 % 26.2 px 43.5 px 3 pixels 63.58 % 70.00 % 26.2 px 43.5 px 4 pixels 59.40 % 66.56 % 26.2 px 43.5 px 5 pixels 55.89 % 63.66 % 26.2 px 43.5 px
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## Test Image 11

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 69.98 % 74.65 % 21.8 px 35.5 px 3 pixels 61.00 % 67.06 % 21.8 px 35.5 px 4 pixels 55.24 % 62.20 % 21.8 px 35.5 px 5 pixels 50.99 % 58.60 % 21.8 px 35.5 px
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## Test Image 12

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 71.01 % 75.61 % 20.5 px 35.0 px 3 pixels 62.97 % 68.85 % 20.5 px 35.0 px 4 pixels 57.30 % 64.07 % 20.5 px 35.0 px 5 pixels 52.39 % 59.94 % 20.5 px 35.0 px
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## Test Image 13

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 75.18 % 78.20 % 20.3 px 30.0 px 3 pixels 67.40 % 71.38 % 20.3 px 30.0 px 4 pixels 61.82 % 66.47 % 20.3 px 30.0 px 5 pixels 57.69 % 62.84 % 20.3 px 30.0 px
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## Test Image 14

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 75.38 % 79.57 % 28.5 px 41.1 px 3 pixels 70.09 % 75.17 % 28.5 px 41.1 px 4 pixels 66.60 % 72.28 % 28.5 px 41.1 px 5 pixels 63.89 % 70.03 % 28.5 px 41.1 px
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## Test Image 15

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 76.79 % 80.84 % 29.3 px 47.5 px 3 pixels 70.75 % 75.85 % 29.3 px 47.5 px 4 pixels 66.91 % 72.68 % 29.3 px 47.5 px 5 pixels 63.97 % 70.25 % 29.3 px 47.5 px
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## Test Image 16

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 87.65 % 88.89 % 33.6 px 41.9 px 3 pixels 82.56 % 84.30 % 33.6 px 41.9 px 4 pixels 78.71 % 80.83 % 33.6 px 41.9 px 5 pixels 75.63 % 78.06 % 33.6 px 41.9 px
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## Test Image 17

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 66.58 % 71.82 % 18.8 px 31.3 px 3 pixels 59.63 % 65.96 % 18.8 px 31.3 px 4 pixels 55.32 % 62.32 % 18.8 px 31.3 px 5 pixels 51.91 % 59.44 % 18.8 px 31.3 px
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## Test Image 18

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 83.22 % 84.94 % 19.7 px 26.6 px 3 pixels 77.28 % 79.60 % 19.7 px 26.6 px 4 pixels 72.55 % 75.35 % 19.7 px 26.6 px 5 pixels 68.40 % 71.61 % 19.7 px 26.6 px
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## Test Image 19

 Error Out-Noc Out-All Avg-Noc Avg-All 2 pixels 73.56 % 76.71 % 16.6 px 25.4 px 3 pixels 66.16 % 70.18 % 16.6 px 25.4 px 4 pixels 60.87 % 65.52 % 16.6 px 25.4 px 5 pixels 56.85 % 61.97 % 16.6 px 25.4 px
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