System and method for modeling movement of objects using probabilistic graphs obtained from surveillance data
First Claim
1. A computer implemented method for modeling movement of objects in an environment, comprising:
- detecting discrete events caused by objects moving in an environment with a set of sensors arranged at known locations in the environment;
linking sequences of temporally and spatially adjacent discrete events to form a set of tracklets;
constructing a set of directed graphs from the set of tracklets, the graphs including at least one starting node, at least one terminating node, and one or more intermediate nodes where multiple tracklets connect giving rise to ambiguities in the movement of the objects, in which the starting node is A and a terminating node is Z and a graph γ
0 models the movement of a particular object from node A to node Z, and a probability P(AZ|γ
0) =1 if a particular object starting at node A always terminated at node Z in the graph γ
0, where z,900 indicates follows; and
assigning probabilities to the nodes, the probabilities indicating likelihoods that the objects were at particular known locations to model the movement of the objects in the environment.
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Abstract
A method and system tracks models and predict object movement in an environment. Sequences of temporally and spatially adjacent events sensed by the set of sensors are linked to form a set of tracklets. Each tracklet has an associated starting and terminating location. The tracklets are used to construct a directed graph including starting nodes, terminating nodes, and, intermediate nodes connected by edges. The intermediate nodes can be split nodes where tracklets diverge onto different tracks, and join nodes where multiple tracklets converge onto a single path. Probabilities are assigned to the edges to model and predict movement of the objects in the environment.
22 Citations
14 Claims
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1. A computer implemented method for modeling movement of objects in an environment, comprising:
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detecting discrete events caused by objects moving in an environment with a set of sensors arranged at known locations in the environment; linking sequences of temporally and spatially adjacent discrete events to form a set of tracklets; constructing a set of directed graphs from the set of tracklets, the graphs including at least one starting node, at least one terminating node, and one or more intermediate nodes where multiple tracklets connect giving rise to ambiguities in the movement of the objects, in which the starting node is A and a terminating node is Z and a graph γ
0 models the movement of a particular object from node A to node Z, and a probability P(AZ|γ
0) =1 if a particular object starting at node A always terminated at node Z in the graph γ
0, where z,900 indicates follows; andassigning probabilities to the nodes, the probabilities indicating likelihoods that the objects were at particular known locations to model the movement of the objects in the environment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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Specification