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Please predict whether this patent is acceptable.PATENT ABSTRACT: Systems and methods are disclosed for a future event prediction. Embodiments include capturing spatiotemporal data pertaining to activities, wherein the activities include a plurality of events, and employing an augmented-hidden-conditional-random-field (a-HCRF) predictor to generate a future event prediction based on a parameter-vector input, hidden states, and the spatiotemporal data. Methods therein utilize a graph including a first node associated with random variables corresponding to a future event state, a second node associated with random variables corresponding to spatiotemporal input data, a first group of nodes, each node therein associated with random variables corresponding to a subset of the spatiotemporal input data, a second group of nodes, each node therein associated with random variables corresponding to a hidden-state; wherein the edges connect the first node with the second node, the first node with the second group of nodes, and the first group of nodes with the second group of nodes.