Mercurial Hosting > traffic-intelligence
view c/tracking.cfg @ 134:a617d0808bbc
added test on feature length and display control
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Wed, 17 Aug 2011 23:21:26 -0400 |
parents | b3e3d9f80a6a |
children | 445e773c9be3 |
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# video file to process: videoFilenamePrefix video-filename = carrefour.avi # original video frame rate: videoFPS video-fps = 29.97 # number of digits of precision for all measurements derived from video: measurementPrecision measurement-precision = 3 # first frame to process: frame1 frame1 = 0 # number of frame to process: nFrames nframes = -1 # feature tracking # maximum number of tracked features (> 500): maxNFeatures max-nfeatures = 1000 # quality level of the good features to track: featureQuality feature-quality = 0.1 # minimum distance between features: minFeatureDistanceKLT min-feature-distance = 5 # size of the search window at each pyramid level: windowSize window-size = 7 # maximal pyramid level in the feature tracking algorithm: pyramidLevel pyramid-level = 5 # number of frames to compute the feature displacement: nFramesDisplacement nframes-displacement = 3 # minimum displacement to keep features: minFeatureDisplacement min-feature-displacement = 0.05 # maximum feature acceleration: accelerationBound acceleration-bound = 3 # maximum feature deviation: deviationBound deviation-bound = 0.6 # number of frames to smooth positions (half window): nFramesSmoothing nframes-smoothing = 5 # number of frames to compute velocities: nFramesVelocity nframes-velocity = 5 # maximum number of iterations to stop feature tracking: maxNumberTrackingIterations max-number-iterations = 20 # minimum error to reach to stop feature tracking: minTrackingError min-tracking-error = 0.3 # minimum length of a feature (number of frames) to consider a feature for grouping: minFeatureTime min-feature-time = 20 # Min Max similarity parameters (Beymer et al. method) # connection distance in feature grouping: mmConnectionDistance mm-connection-distance = 3.75 # segmentation distance in feature grouping: mmSegmentationDistance mm-segmentation-distance = 1.5 # maximum distance between features for grouping: maxDistance max-distance = 5 # minimum cosine of the angle between the velocity vectors for grouping: minVelocityCosine min-velocity-cosine = 0.8 # minimum average number of features per frame to create a vehicle hypothesis: minNFeaturesPerGroup min-nfeatures-group = 3