Multifeature Object Trajectory Clustering for Video Analysis

Abstract

We present a novel multifeature video object trajectory clustering algorithm that estimates common patterns of behaviors and isolates outliers. The proposed algorithm is based on four main steps, namely the extraction of a set of representative trajectory features, non-parametric clustering, cluster merging and information fusion for the identification of… (More)
DOI: 10.1109/TCSVT.2008.2005603

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