Movement timestamping and analytics
First Claim
1. A method for analyzing a person'"'"'s movement in a retail environment, comprising:
- capturing a first image of a first person at a first location at a first time;
capturing a second image of a second person at a second location, remote from the first location, at a second time;
identifying, by analyzing with at least one computing device, one or more characteristics associated with the image of the first person and the image of the second person;
determining, by analyzing with the at least one computing device, whether the first person and the second person are likely to be the same individual;
in response to a determination that the first person is likely to be the second person, comparing, with the at least one computing device, the elapsed time between the first time and the second time with a maximum elapsed time threshold that is indicative of a likelihood that the first person has committed or will commit a crime within the retail environment; and
determining, by analyzing with the at least one computing device, how many of a plurality of locations in a retail environment the first person traveled to within a predetermined period of time include a merchandise display that is likely a target of shoplifting.
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Accused Products
Abstract
In selected embodiments, a computer-implemented method for analyzing customer movement in a retail environment includes capturing an image of an individual at multiple locations within a retail environment and tracking the elapsed time between the individual'"'"'s appearance at the various locations. For areas of the store at increased risk for shoplifting, the elapsed times may be compared to predetermined upper and/or lower elapsed time thresholds or windows to determine whether an individual is likely to commit a crime in the retail environment. The thresholds or window may be empirically determined based on analysis of historical security video footage and security incident records.
94 Citations
20 Claims
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1. A method for analyzing a person'"'"'s movement in a retail environment, comprising:
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capturing a first image of a first person at a first location at a first time; capturing a second image of a second person at a second location, remote from the first location, at a second time; identifying, by analyzing with at least one computing device, one or more characteristics associated with the image of the first person and the image of the second person; determining, by analyzing with the at least one computing device, whether the first person and the second person are likely to be the same individual; in response to a determination that the first person is likely to be the second person, comparing, with the at least one computing device, the elapsed time between the first time and the second time with a maximum elapsed time threshold that is indicative of a likelihood that the first person has committed or will commit a crime within the retail environment; and determining, by analyzing with the at least one computing device, how many of a plurality of locations in a retail environment the first person traveled to within a predetermined period of time include a merchandise display that is likely a target of shoplifting. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for analyzing a person'"'"'s movement, the system comprising:
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an electronic image capture system configured to capture (i) a first image of a first scene of a first location and (ii) a second image of a second scene of a second location remote from the first location, the first and second images being associated with first and second time stamps, respectively; at least one computing device having instructions to recognize (i) a first character in the first image and (ii) a second character in the second image, wherein first and second parameters characterize attributes of the first and second characters, respectively; and a video analytics system having instructions that (i) determines, using at least the first and second parameters, that the first and second characters correspond to one actor;
(ii) determines whether a predetermined time criterion exists between the first scene and the second scene;
(iii) compares a maximum elapsed time criterion with a time difference between the first and second time stamps only if a predetermined time criterion exists between the first scene and the second scene, the maximum elapsed time criterion is indicative of the likelihood that the first character will commit a crime; and
(iv) determines how many of a plurality of locations in a retail environment the first character traveled to within a predetermined period of time include a merchandise display that is a likely target of shoplifting. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A computer-implemented method of analyzing an individual'"'"'s movements in a retail environment, comprising the steps of:
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operating a video surveillance system to monitor a plurality of locations at a retail environment, at least some of the plurality of locations include a merchandise display that is a likely target of shoplifting; determining, by analyzing with at least one computing device, a plurality of locations at the retail environment that a first individual travels to within a predetermined period of time and assigning a crime score to the first individual based at least in part on how many of the plurality of locations that the first individual traveled to within the predetermined period of time include a merchandise display that is a likely target of shoplifting, the at least one computing device being configured to differentiate the first individual from other individuals at the retail environment; determining the elapsed time the first individual traveled from a first location at the retail environment to a second location of the retail environment, at least one of the first location and the second location includes a merchandise display that is a likely target of shoplifting; adjusting the crime score of the first individual based at least in part on the elapsed time the first individual traveled from the first location to the second location; and
,generating a security notification specific to the first individual if the first individual'"'"'s crime score exceeds a predetermined value.
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Specification