Method and system for narrowcasting based on automatic analysis of customer behavior in a retail store
First Claim
1. A method of narrowcasting advertisement contents on a means for displaying output based on an automatic and real-time behavior analysis of a customer or a group of customers in a retail store, comprising the following steps of:
- a) capturing a plurality of input video images of the customer or the group of customers in the retail store using a plurality of sensing devices connected in an array of sensing devices to capture video images wherein the array of sensing devices are connected to a first means for control and processing,b) generating individual tracks from the captured plurality of input video images in the first means for control and processing, the tracks representing a shopping and walkthrough history of where the customer or the group of customers have been in the retail store,c) joining the individual tracks from the first means for control and processing in a second means for control and processing, wherein the tracks are joined using a Bayesian Belief Network,d) automatically analyzing, in real-time, behavior pattern of the customer or the group of customers based on visual information from the joined tracks in the second means for control and processing,e) customizing the advertisement contents according to the joined tracks and the behavior pattern from the behavior analysis, andf) narrowcasting the customized advertisement contents on means for displaying output to the customer or the group of customers in the retail store.
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Abstract
The present invention is a method and system for automatically changing the advertisement contents on a means for displaying the contents based on a customer'"'"'s behavior or a group of customers'"'"' behavior in a retail store. The analysis of behavioral pattern is performed automatically and in real-time based on the visual information from the shopping and walkthrough history of a customer or a group of customers, using arrays of sensing devices, such as a plurality of means for capturing images, and a plurality of computer vision technologies on the visual information.
226 Citations
20 Claims
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1. A method of narrowcasting advertisement contents on a means for displaying output based on an automatic and real-time behavior analysis of a customer or a group of customers in a retail store, comprising the following steps of:
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a) capturing a plurality of input video images of the customer or the group of customers in the retail store using a plurality of sensing devices connected in an array of sensing devices to capture video images wherein the array of sensing devices are connected to a first means for control and processing, b) generating individual tracks from the captured plurality of input video images in the first means for control and processing, the tracks representing a shopping and walkthrough history of where the customer or the group of customers have been in the retail store, c) joining the individual tracks from the first means for control and processing in a second means for control and processing, wherein the tracks are joined using a Bayesian Belief Network, d) automatically analyzing, in real-time, behavior pattern of the customer or the group of customers based on visual information from the joined tracks in the second means for control and processing, e) customizing the advertisement contents according to the joined tracks and the behavior pattern from the behavior analysis, and f) narrowcasting the customized advertisement contents on means for displaying output to the customer or the group of customers in the retail store. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus of narrowcasting advertisement contents on a means for displaying output based on an automatic and real-time behavior analysis of a customer or a group of customers in a retail store, comprising:
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a) means for capturing a plurality of input video images of the customer or the group of customers in the retail store using a plurality of sensing devices connected in an array of sensing devices to capture video images wherein the array of sensing devices are connected to a first means for control and processing, b) the first means for control and processing to generate individual tracks from the captured plurality of input video images, the tracks representing a shopping and walkthrough history of where the customer or the group of customers have been in the retail store, c) second means for control and processing to join the individual tracks from the first means for control and processing, wherein the tracks are joined using a Bayesian Belief Network, and to automatically analyze, in real-time, behavior pattern of the customer or the group of customers based on visual information from the joined tracks in the second means for control and processing, d) means for customizing the advertisement contents according to the joined tracks and the behavior pattern from the behavior analysis, and e) means for narrowcasting the customized advertisement contents on means for displaying output to the customer or the group of customers in the retail store. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification