IP Library › Granted Patent US 12670717
Granted Patent B2
US 12670717 · App. 18/532,117 · Granted Jun 30, 2026

Device and method for identifying relationships between individuals in a crowd

Inventors: Jesus F Corretjer (Weston, FL); Richard Alaburda (Sunrise, FL); Niyanthri Ramaswamy Naresh Prabhu (Davie, FL)
Assignee: MOTOROLA SOLUTIONS, INC.
G06V20/53G06V20/41G06V40/20
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Quick Facts
Patent No.
US 12670717
App. No.
18/532,117
Granted
Jun 30, 2026
Kind
B2
Abstract

A process for identifying relationships between individuals in a crowd. In operating, an electronic computing device detects questions presented to a crowd with an instruction directing the crowd to answer each question in the form of non-verbal responses rather than in the form of verbal responses. The computing device enables at least one camera to record videos capturing activities of the crowd in response to each presented question. The activities of the crowd captured in the videos are analyzed using a video analytics engine to identify a pattern of non-verbal responses that would indicate a leader-follower relationship between individuals identified from the crowd. The electronic computing device then generates a visual and/or audio output identifying the leader-follower relationship between the individuals identified from the crowd.

Claims (67)

1 . A method of identifying relationships between individuals in a crowd, the method comprising:

detecting, at an electronic computing device, questions presented to a crowd with an instruction directing the crowd to answer each question in the form of non-verbal responses rather than in the form of verbal responses;

enabling, at the electronic computing device, at least one camera to record videos capturing activities of the crowd in response to each presented question;

analyzing, at the electronic computing device, the activities of the crowd captured in the videos using a video analytics engine to identify a pattern of non-verbal responses that would indicate a leader-follower relationship between individuals identified from the crowd;

determining that the pattern of non-verbal responses would indicate the leader-follower relationship when analysis of the activities of the crowd indicate that (i) at least one individual from the crowd looked to at least one other individual from the crowd before responding to greater than a threshold number of the questions presented to the crowd, and (ii) the at least one individual looked to not greater than a threshold number of other individuals from the crowd before responding to the questions presented to the crowd;

classifying the at least one individual as a follower in the leader-follower relationship; and

generating, at the electronic computing device, a visual and/or audio output identifying the leader-follower relationship between the individuals identified from the crowd, wherein the visual and/or audio output further indicates that the at least one individual is classified as the follower in the leader-follower relationship.

2 . A method of identifying relationships between individuals in a crowd, the method comprising:

detecting, at an electronic computing device, questions presented to a crowd with an instruction directing the crowd to answer each question in the form of non-verbal responses rather than in the form of verbal responses;

enabling, at the electronic computing device, at least one camera to record videos capturing activities of the crowd in response to each presented question;

analyzing, at the electronic computing device, the activities of the crowd captured in the videos using a video analytics engine to identify a pattern of non-verbal responses that would indicate a leader-follower relationship between individuals identified from the crowd;

determining that the pattern of non-verbal responses would indicate the leader-follower relationship when analysis of the activities of the crowd indicate that (i) at least one individual from the crowd was looked at by greater than a threshold number of other individuals in the crowd before responding to greater than a threshold number of the questions presented to the crowd, and (ii) the at least one individual did not look to other individuals from the crowd before responding to greater than the threshold number of the questions presented to the crowd;

classifying the at least one individual as a leader in the leader-follower relationship; and

generating, at the electronic computing device, a visual and/or audio output identifying the leader-follower relationship between the individuals identified from the crowd, wherein the visual and/or audio output further indicates that the at least one individual is classified as the leader in the leader-follower relationship.

3 . The method of claim 1 , further comprising:

analyzing the activities of the crowd captured in the videos using the video analytics engine to identify a second pattern of non-verbal responses indicating that (i) at least one second individual from the crowd looked to at least one other individual from the crowd before responding to greater than the threshold number of the questions presented to the crowd, and (ii) the at least one second individual looked to greater than the threshold number of other individuals from the crowd before responding to the questions presented to the crowd; and

classifying the at least one second individual as a follower of the crowd,

wherein the visual and/or audio output further indicates that the at least one second individual is classified as the follower of the crowd.

4 . The method of claim 1 , further comprising:

categorizing one or more of the non-verbal responses captured in response to each question presented to the crowd as a physical gesture made by a respective one of the individuals from the crowd to answer to a respective one of the questions presented to the crowd.

5 . The method of claim 4 , further comprising:

for each of the one or more of the non-verbal responses categorized as the physical gesture, interpreting the meaning of the physical gesture to generate a verbal answer corresponding to the physical gesture.

6 . The method of claim 5 , wherein the visual and/or audio output further provides an indication of the verbal answer interpreted from the physical gesture made by a respective one of the individuals to respond to a respective one of the questions presented to the crowd.

7 . The method of claim 6 , further comprising:

generating a follow-up question to be presented to a respective one of the individuals or a follow-up action to be performed with respect to the respective one of the individuals as a function of the verbal answer generated corresponding to the physical gesture and the respective one of the individual's role either as a leader or a follower in the leader-follower relationship.

8 . The method of claim 1 , further comprising:

analyzing the activities of the crowd captured in the videos using the video analytics engine to identify a pattern of lack of responses from at least one individual from the crowd for greater than the threshold number of questions presented to the crowd; and

generating a follow-up question to be presented privately to the at least one individual or a follow-up action to be performed with respect to the at least one individual,

wherein the visual and/or audio output further indicates a follow-up question or the follow-up action.

9 . The method of claim 1 , wherein prior to enabling the at least one camera, the method further comprising:

providing, via the visual and/or audio output, an instruction to arrange the at least one camera to have a field of view covering each individual from the crowd.

10 . The method of claim 1 , wherein the visual and/or audio output further includes an identity for each of the individuals identified from the crowd and an indication of whether each of the individuals identified from the crowd is classified as one or more of a leader, a follower, or a follower of the crowd.

11 . An electronic computing device, comprising:

a communications interface; and

an electronic processor communicatively coupled to the communications interface, the electronic processor configured to:

detect questions presented to a crowd with an instruction directing the crowd to answer each question in the form of non-verbal responses rather than in the form of verbal responses;

enable, via the communications interface, at least one camera to record videos capturing activities of the crowd in response to each presented question;

receive, via the communications interface, the recorded videos capturing activities of the crowd;

analyze the activities of the crowd captured in the videos using a video analytics engine to identify a pattern of non-verbal responses that would indicate a leader-follower relationship between individuals identified from the crowd;

determine that the pattern of non-verbal responses would indicate the leader-follower relationship when analysis of the activities of the crowd indicate that (i) at least one individual from the crowd looked to at least one other individual from the crowd before responding to greater than a threshold number of the questions presented to the crowd, and (ii) the at least one individual looked to not greater than a threshold number of other individuals from the crowd before responding to the questions presented to the crowd;

classify the at least one individual as a follower in the leader-follower relationship; and

generate a visual and/or audio output via a corresponding visual and/or audio output identifying the leader-follower relationship between the individuals identified from the crowd, wherein the visual and/or audio output further indicates that the at least one individual is classified as the follower in the leader-follower relationship.

12 . An electronic computing device, comprising:

a communications interface; and

an electronic processor communicatively coupled to the communications interface, the electronic processor configured to:

detect questions presented to a crowd with an instruction directing the crowd to answer each question in the form of non-verbal responses rather than in the form of verbal responses;

enable, via the communications interface, at least one camera to record videos capturing activities of the crowd in response to each presented question;

receive, via the communications interface, the recorded videos capturing activities of the crowd;

analyze the activities of the crowd captured in the videos using a video analytics engine to identify a pattern of non-verbal responses that would indicate a leader-follower relationship between individuals identified from the crowd;

determine that the pattern of non-verbal responses would indicate the leader-follower relationship when analysis of the activities of the crowd indicate that (i) at least one individual from the crowd was looked at by greater than a threshold number of other individuals in the crowd before responding to greater than a threshold number of the questions presented to the crowd, and (ii) the at least one individual did not look to other individuals from the crowd before responding to greater than the threshold number of the questions presented to the crowd;

classify the at least one individual as a leader in the leader-follower relationship; and

generate a visual and/or audio output via a corresponding visual and/or audio output identifying the leader-follower relationship between the individuals identified from the crowd, wherein the visual and/or audio output further indicates that the at least one individual is classified as the leader in the leader-follower relationship.

13 . The electronic computing device of claim 11 , wherein the electronic processor is configured to:

analyze the activities of the crowd captured in the videos using the video analytics engine to identify a second pattern of non-verbal responses indicating that (i) at least one second individual from the crowd looked to at least one other individual from the crowd before responding to greater than the threshold number of the questions presented to the crowd, and (ii) the at least one second individual looked to greater than the threshold number of other individuals from the crowd before responding to the questions presented to the crowd; and

classify the at least one second individual as a follower of the crowd,

wherein the visual and/or audio output further indicates that the at least one second individual is classified as the follower of the crowd.

14 . The electronic computing device of claim 11 , wherein the electronic processor is configured to:

categorize one or more of the non-verbal responses captured in response to each question presented to the crowd as a physical gesture made by a respective one of the individuals from the crowd to answer to a respective one of the questions presented to the crowd.

15 . The electronic computing device of claim 14 , wherein the electronic processor is configured to:

for each of the one or more of the non-verbal responses categorized as the physical gesture, interpret the meaning of the physical gesture to generate a verbal answer corresponding to the physical gesture.

16 . The electronic computing device of claim 15 , wherein the visual and/or audio output further provides an indication of the verbal answer interpreted from the physical gesture made by the respective one of the individuals to respond to the respective one of the questions presented to the crowd.

17 . The electronic computing device of claim 15 , wherein the electronic processor is configured to:

generate a follow-up question to be presented to a respective one of the individuals or a follow-up action to be performed with respect to the respective one of the individuals as a function of the verbal answer generated corresponding to the physical gesture and the respective one of the individual's classification either as a leader or a follower in the leader-follower relationship.

18 . The electronic computing device of claim 11 , wherein the electronic processor is configured to:

analyze the activities of the crowd captured in the videos using the video analytics engine to identify a pattern of lack of responses from at least one individual from the crowd for greater than the threshold number of questions presented to the crowd; and

generate a follow-up question to be presented privately to the at least one individual or a follow-up action to be performed with respect to the at least one individual,

wherein the visual and/or audio output further indicates a follow-up question or the follow-up action.