作者: Zhang Zhang , Kaiqi Huang , Tieniu Tan
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摘要: This paper compares different similarity measures used for trajectory clustering in outdoor surveillance scenes. Six are presented and the performance is evaluated by Correct Clustering Rate (CCR) Time Cost (TC). The experimental results demonstrate that scenes, simpler PCA+Euclidean distance competent task even case of noise, as more complex such DTW, LCSS not efficient due to their high computational cost .