Finding Paths in Video Sequences

D Makris and T Ellis

This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of trajectory data over many image frames. Labelled paths are used as an efficient means for compressing the trajectory data for logging purposes. In addition, the path models are used to predict the objectís location many timesteps ahead, and to aid the recognition of unusual behaviour identified as atypical object motion.

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