US2017257600A1PendingUtilityA1
Method and system for anonymous video analytics processing
Est. expiryAug 2, 2032(~6.1 yrs left)· nominal 20-yr term from priority
H04L 12/6418H04N 7/18G06K 9/00771G06K 9/00979G06V 10/95G06V 20/52
46
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Claims
Abstract
A method includes receiving, at a peer node, statistical data based on video data and relating to the video data, but other than a video content and an image content of the video data. In particular, the peer node is other than within a trusted group of nodes trusted for accessing the video data. At the peer node, the statistical data is analyzed to identify predetermined patterns therein. Upon identifying a predetermined pattern, a signal is provided to a trusted processor relating to the identified pattern.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method comprising:
receiving at a peer node statistical data based on video data and relating to the video data but other than a video content and an image content of the video data, the peer node other than within a trusted group of nodes trusted for accessing the video data; at the peer node, analyzing the statistical data to identify predetermined patterns therein; and, upon identifying a predetermined pattern, providing a first signal to a trusted processor relating to the identified pattern.
2 . A method according to claim 1 comprising:
determining, based on the video data, the statistical data relating to the video data but other than a video content and an image content of the video data; and,
providing the statistical data to the peer node, the peer node within a network and other than within a trusted group of nodes trusted for accessing the video data.
3 . A method according to claim 1 comprising:
receiving at a second other peer node second statistical data based on second video data and relating to the second video data but other than a video content and an image content of the second video data, the second peer node other than within a second trusted group of nodes trusted for accessing the second video data;
at the second other peer node, analyzing the second statistical data to identify predetermined patterns therein; and,
upon identifying a predetermined pattern, providing a second signal to the trusted processor relating to the identified pattern.
4 . A method according to claim 1 wherein;
a plurality of video sources each provide statistical data to each of a plurality of peer nodes and wherein said video sources also provide video data to the trusted processor.
5 . A method according to claim 4 wherein upon receiving one of the first signal and the second signal, the trusted processor processes a respective one of the first video data and the second video data relating to the identified pattern to determine an occurrence of a known event.
6 . A method according to claim 5 comprising:
when the occurrence of the known event is determined, initiating a further action.
7 . A method according to claim 1 wherein the statistical data is other than usable for determining the one of the video content and the image content of the video data.
8 . A method comprising:
capturing video information at a transducer to provide video data; providing the video data to a server in communication with the transducer; providing statistical data to a peer node, the statistical data based on video data and relating to the video data but other than a video content and an image content of the video data, the peer node other than within a trusted group of nodes trusted for accessing the video data; at the peer node, analyzing the statistical data to identify predetermined patterns therein; upon identifying a predetermined pattern, providing a signal to the server relating to the identified pattern; and, processing the video data relating to the identified pattern by the server to determine an occurrence identifiable by video analytics.
9 . A method according to claim 8 wherein from the statistical data the peer node is unable to reformulate the video data in a visually representative form.
10 . A method according to claim 8 wherein the peer node is one of a plurality of peer nodes and wherein statistical data provided to each of the plurality of peer nodes is same statistical data.
11 . A method according to claim 8 wherein the peer node is one of a plurality of peer nodes and wherein statistical data provided to each of the plurality of peer nodes is different statistical data.
12 . A method according to claim 8 wherein the statistical data is other than usable for determining the one of the video content and the image content of the video data.
13 . A method comprising:
receiving video data from a source of video data; applying a transformation to the video data, the transformation being one of a numerical transformation and a geometrical transformation for resulting in irreversibly transformed video data; providing the irreversibly transformed video data to a peer system; at the peer system, analyzing the irreversibly transformed video data to identify predetermined patterns indicative of potential occurrences of events of interest within the video data; upon identifying a predetermined pattern, providing a first signal relating to the identified predetermined pattern from the peer system to a trusted processor.
14 . The method according to claim 13 wherein the transformation comprises an irreversible transformation to the video data.
15 . The method according to claim 14 wherein the applied irreversible transformation renders visual content of the video data unintelligible to a human when displayed.
16 . The method according to claim 13 wherein the peer system is other than within a trusted group of systems trusted for accessing the video data.
17 . The method according to claim 13 wherein the irreversibly transformed video data is other than usable for determining either one of video content and image content of the video data.Cited by (0)
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