# 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