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- W2184492012 abstract "We present a newrotation invariant measure fortrajectories ofdynamically changing locations ofmobile objects(vehicles), whichappearnaturally inapplications such asvideo-tracking, motion capture etc.Simillar motion patterns canalsobeexpressed atdifferent orientations. We have modeledeachtrajectory by itssequence ofangles. The similarity measureisdefined basedon Longest Common Subsequence (LCS)method. Toevaluate a system ,we have simulated thedatabase consisting ofcommontrajectories of movingvehicles inthecities. First, clustering basedon agglomerative algorithm withnew similarity measureis applied on thetraining dataset. To classify new samples, similarity tothemedian oftheclusters isconsidered andbased ontheratesofthesimilarity tothemedian, somenatural language sentences isproduced, these sentences express the behavioural descriptions ofthevehicles. Experimental results showtheaccuracy andefficiency ofthetechnique." @default.
- W2184492012 created "2016-06-24" @default.
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- W2184492012 date "2005-01-01" @default.
- W2184492012 modified "2023-09-27" @default.
- W2184492012 title "ANewRotation Invariant Similarity Measure for Traj ectories" @default.
- W2184492012 hasPublicationYear "2005" @default.
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