Mercurial Hosting > traffic-intelligence
changeset 775:56153d439f8c dev
updated sample parameters in tracking.cfg to good parameters from the TRB paper Morse et al 2016
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
---|---|
date | Fri, 05 Feb 2016 12:28:18 -0500 |
parents | b6d3bf350789 |
children | 84420159c5f4 |
files | tracking.cfg |
diffstat | 1 files changed, 8 insertions(+), 8 deletions(-) [+] |
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--- a/tracking.cfg Wed Feb 03 13:18:02 2016 -0500 +++ b/tracking.cfg Fri Feb 05 12:28:18 2016 -0500 @@ -36,9 +36,9 @@ # maximum number of features added at each frame max-nfeatures = 1000 # quality level of the good features to track -feature-quality = 0.1 +feature-quality = 0.0812219538558 # minimum distance between features (px) -min-feature-distanceklt = 5 +min-feature-distanceklt = 3.54964337411 # size of the block for feature characteristics (px) block-size = 7 # use of Harris corner detector @@ -46,7 +46,7 @@ # k parameter to detect good features to track (OpenCV) k = 0.4 # size of the search window at each pyramid level (px) -window-size = 7 +window-size = 6 # maximal pyramid level in the feature tracking algorithm pyramid-level = 5 # number of displacement to test minimum feature motion @@ -64,22 +64,22 @@ # maximum number of iterations to stop feature tracking max-number-iterations = 20 # minimum error to reach to stop feature tracking -min-tracking-error = 0.3 +min-tracking-error = 0.183328975142 # minimum eigen value of a 2x2 normal matrix of optical flow equations min-feature-eig-threshold = 1e-4 # minimum length of a feature (number of frames) to consider a feature for grouping -min-feature-time = 20 +min-feature-time = 9 # Min Max similarity parameters (Beymer et al. method) # connection distance in feature grouping (world distance unit or px) -mm-connection-distance = 3.75 +mm-connection-distance = 2.68813545522 # segmentation distance in feature grouping (world distance unit or px) -mm-segmentation-distance = 1.5 +mm-segmentation-distance = 1.81511847456 # maximum distance between features for grouping (world distance unit or px) max-distance = 5 # minimum cosine of the angle between the velocity vectors for grouping min-velocity-cosine = 0.8 # minimum average number of features per frame to create a vehicle hypothesis -min-nfeatures-group = 3 +min-nfeatures-group = 3.16747690802 # Road user classification # min number of pixels in cropped image to classify by SVM min-npixels-crop = 400