A dynamic causal topic model for mining activities from complex videos


In this paper, a novel probabilistic topic model is proposed for mining activities from complex video surveillance scenes. In order to handle the temporal nature of the video data, we devise a dynamical causal topic model (DCTM) that can detect the latent topics and causal interactions between them. The model is based on the assumption that all temporal… (More)
DOI: 10.1007/s11042-017-4760-4


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