Event detection system using electronic tracking devices and video devices
First Claim
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1. A system comprising:
- a processor;
a radio frequency-based electronic tracking device, the electronic tracking device coupled to the processor;
one or more transmitters, the electronic tracking device configurable to read the one or more transmitters; and
one or more video sensing devices, the one or more video sensing devices coupled to the processor, wherein the processor is configurable to associate data from the one or more transmitters and data from the one or more video sensing devices;
wherein each of the one or more transmitters is configurable to be associated with a particular individual of a group of individuals;
wherein the processor is configurable to cluster data from the one or more transmitters;
wherein the processor is configurable to analyze the clustered data to determine a group behavior pattern among the group of individuals;
wherein the association between the data from the one or more transmitters and the data from the one or more video sensing devices comprises a dynamic Bayesian network; and
wherein the dynamic Bayesian network comprises a complex event level, a first simple event level, and second simple event level, wherein data in the first simple event level and the second simple event level originate from both the electronic tracking device and the video sensor.
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Abstract
An event detection system includes a processor, an electronic tracking device, and one or more transmitters. Each of the one or more transmitters can be configured to be associated with a particular individual of a group of individuals. The processor can be configured to cluster data from the one or more transmitters, and the processor can be configured to analyze the clustered data to determine one or more behavior patterns among the group of individuals. In an embodiment, video data can be combined with the electronic tracking device data in the event detection system.
30 Citations
15 Claims
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1. A system comprising:
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a processor; a radio frequency-based electronic tracking device, the electronic tracking device coupled to the processor; one or more transmitters, the electronic tracking device configurable to read the one or more transmitters; and one or more video sensing devices, the one or more video sensing devices coupled to the processor, wherein the processor is configurable to associate data from the one or more transmitters and data from the one or more video sensing devices; wherein each of the one or more transmitters is configurable to be associated with a particular individual of a group of individuals; wherein the processor is configurable to cluster data from the one or more transmitters; wherein the processor is configurable to analyze the clustered data to determine a group behavior pattern among the group of individuals; wherein the association between the data from the one or more transmitters and the data from the one or more video sensing devices comprises a dynamic Bayesian network; and wherein the dynamic Bayesian network comprises a complex event level, a first simple event level, and second simple event level, wherein data in the first simple event level and the second simple event level originate from both the electronic tracking device and the video sensor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system comprising:
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a processor; a radio frequency-based electronic tracking device coupled to the processor; one or more transmitters, the electronic tracking device configurable to read the one or more transmitters; and one or more video sensing devices, the one or more video sensing devices coupled to the processor, wherein the processor is configurable to associate data from the one or more transmitters and data from the one or more video sensing devices; wherein each of the one or more transmitters is configurable to be associated with a particular object among a group of objects; wherein the processor is configurable to cluster data from the one or more transmitters; wherein the processor is configurable to analyze the clustered data to track one or more objects from the group of objects; wherein the association between the data from the one or more transmitters and the data from the one or more video sensing devices comprises a dynamic Bayesian network; and wherein the dynamic Bayesian network comprises a complex event level, a first simple event level, and second simple event level, wherein data in the first simple event level and the second simple event level originate from both the electronic tracking device and the video sensor. - View Dependent Claims (13, 14)
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15. A process comprising:
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reading data from a plurality of radio frequency-based electronic tracking transmitters, each electronic tracking transmitter associated with a particular individual in a group of individuals; clustering the electronic tracking transmitter data; analyzing the clustered electronic tracking transmitter data to determine a group behavior pattern associated with the group of individuals; collecting video data; and associating the video data with the electronic tracking transmitter data; wherein the associating the video data with the electronic tracking transmitter data comprises using a dynamic Bayesian network; and wherein the dynamic Bayesian network comprises a complex event level, a first simple event level, and second simple event level, wherein data in the first simple event level and the second simple event level originate from both the electronic tracking device and the video sensor.
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Specification