Intent Inference: Detection of anomalous trajectory patterns in target tracking
نویسندگان
چکیده
This paper develops novel stochastic models and associated signal processing algorithms for detecting intent in terms of anomalous trajectory patterns in target tracking. Stochastic context-free grammar models are presented for anomalous trajectories using the concept of tracklets. Bayesian signal processing algorithms for each model are also described to solve the related classification and prediction problems with polynomial complexity.
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