Motion Trajectory Clustering for Video Retrieval Using Spatio-temporal Approximations

Abstract

A new technique is proposed for clustering and similarity retrieval of video motion clips based on spatio-temporal object trajectories. The trajectories are treated as motion time series and represented either by least squares or Chebyshev polynomial approximations. Trajectory clustering is then carried out to discover patterns of similar object motion… (More)
DOI: 10.1007/11590064_6

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