Traffic and geometry modeling with sensor networks
First Claim
1. A method for modeling movement of users in an environment, the environment including sensors connected in a network, comprising:
- detecting events due to movement of the users at the sensors;
labeling each event according to a particular sensor and time of the event;
summing the events for each sensor into a corresponding histogram time interval bin;
generating a plurality of co-occurrence matrices from the histograms according to where i and j represent each possible pair of sensors, δ
represent time-off-sets, T is a total time for the detecting, t represents a particular time, and H represents the histogram time interval bins.
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Abstract
A method models movement of users in an environment including sensors connected in a network. Events due to movement of the users are detected at the sensors and each event is labeled according to a particular sensor and time of the event. The events for each sensor are summed into a corresponding histogram time interval bin. A plurality of co-occurrence matrices are generated from the histograms according to
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Citations
21 Claims
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1. A method for modeling movement of users in an environment, the environment including sensors connected in a network, comprising:
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detecting events due to movement of the users at the sensors;
labeling each event according to a particular sensor and time of the event;
summing the events for each sensor into a corresponding histogram time interval bin;
generating a plurality of co-occurrence matrices from the histograms according to where i and j represent each possible pair of sensors, δ
represent time-off-sets, T is a total time for the detecting, t represents a particular time, and H represents the histogram time interval bins. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A system for modeling movement of users in an environment, comprising:
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a plurality of sensors distributed throughout the environment;
means for labeling events detected by the sensors according to a particular sensor and time of the event;
means for summing the events for each sensor into a corresponding histogram time interval bin; and
means for generating a plurality of co-occurrence matrices from the histograms according to where i and j represent each possible pair of sensors, δ
represent time-off-sets, T is a total time for the detecting, t represents a particular time, and H represents the histogram time interval bins. - View Dependent Claims (20, 21)
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Specification