Mercurial Hosting > traffic-intelligence
changeset 562:259ccb3dd962
work on object trajectory smoothing
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Wed, 16 Jul 2014 02:12:34 -0400 |
| parents | ee45c6eb6d49 |
| children | 39de5c532559 |
| files | python/moving.py |
| diffstat | 1 files changed, 25 insertions(+), 0 deletions(-) [+] |
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--- a/python/moving.py Tue Jul 15 16:42:04 2014 -0400 +++ b/python/moving.py Wed Jul 16 02:12:34 2014 -0400 @@ -877,6 +877,31 @@ at constant speed''' return predictPositionNoLimit(nTimeSteps, self.getPositionAtInstant(instant), self.getVelocityAtInstant(instant), externalAcceleration) + def computeSmoothTrajectory(self, minCommonIntervalLength): + '''Computes the trajectory as the mean of all features + if a feature exists, its position is + + TODO? not use the first/last 1-.. positions''' + from numpy import array, median + nFeatures = len(self.features) + if nFeatures == 0: + print('Empty object features\nCannot compute smooth trajectory') + else: + # compute the relative position vectors + relativePositions = {} # relativePositions[(i,j)] is the position of j relative to i + for i in xrange(nFeatures): + for j in xrange(i): + fi = self.features[i] + fj = self.features[j] + inter = fi.commonTimeInterval(fj) + if inter.length() >= minCommonIntervalLength: + xi = array(fi.getXCoordinates()[inter.first-fi.getFirstInstant():int(fi.length())-(fi.getLastInstant()-inter.last)]) + yi = array(fi.getYCoordinates()[inter.first-fi.getFirstInstant():int(fi.length())-(fi.getLastInstant()-inter.last)]) + xj = array(fj.getXCoordinates()[inter.first-fj.getFirstInstant():int(fj.length())-(fj.getLastInstant()-inter.last)]) + yj = array(fj.getYCoordinates()[inter.first-fj.getFirstInstant():int(fj.length())-(fj.getLastInstant()-inter.last)]) + relativePositions[(i,j)] = Point(median(xj-xi), median(yj-yi)) + relativePositions[(j,i)] = -relativePositions[(i,j)] + ### # User Type Classification ###