Methods and apparatus to determine an audience composition based on voice recognition, thermal imaging, and facial recognition

1. An apparatus to measure an audience in a media environment, the apparatus comprising:

a media identifier to generate first media identification signatures to identify media presented by a media device, the first media identification signatures to be generated from first audio data obtained with a first audio sensor in the media environment;

an audio detector to determine a first audience count based on second signatures generated, based on a same signature generation technique as the first media identification signatures, from second audio data obtained with a second audio sensor in the media environment;

a thermal image detector to determine a heat blob count based on a first frame of thermal image data captured in the media environment;

a light imaging sensor to capture a second frame of audience image data associated with a field of view, the light imaging sensor to focus the field of view based on the first frame of thermal image data captured in the media environment; and

an audience image detector to identify at least one audience member based on a comparison of the second frame of audience image data with a library of reference audience images, the audience image detector to perform the comparison in response to the first audience count not matching the heat blob count.

2. The apparatus of claim 1 , further including a comparator to compare the first audience count and the heat blob count.

3. The apparatus of claim 1 , further including a people meter controller to cause a people meter, which is to emit a prompt for audience identification information, to not emit the prompt for at least a first time period after the at least one audience member is identified.

4. The apparatus of claim 3 , wherein the people meter controller is to cause the people meter to emit the prompt in response to the audience image detector not identifying a number of audience members in the second frame of audience image data equal to the heat blob count.

5. The apparatus of claim 1 , wherein the audio detector is to identify the at least one audience member based on a second comparison of the second signatures generated from the second audio data with a library of reference signatures, the audio detector to perform the second comparison when the first audience count matches the heat blob count.

6. The apparatus of claim 5 , wherein the audience image detector is not to capture the second frame of audience image data in response to the audio detector identifying the at least one audience member.

7. The apparatus of claim 1 , wherein the audio detector is to identify at least one speech pattern based on the second signatures generated from the second audio data.

8. A non-transitory computer readable storage medium comprising instructions that, when executed, cause one or more processors to at least:

generate first media identification signatures to identify media presented by a media device, the first media identification signatures to be generated from first audio data obtained with a first audio sensor in a media environment;

determine a first audience count based on second signatures generated, based on a same signature generation technique as the first media identification signatures, from second audio data obtained with a second audio sensor in the media environment;

determine a heat blob count based on a first frame of thermal image data captured in the media environment;

cause a second frame of audience image data to be captured, the second frame of audience image data associated with a field of view to be focused based on the first frame of thermal image data captured in the media environment; and

identify at least one audience member based on a comparison of the second frame of audience image data with a library of reference audience images, the comparison performed in response to the first audience count not matching the heat blob count.

9. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the one or more processors to compare the first audience count and the heat blob count.

10. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the one or more processors to cause a people meter, which is to emit a prompt for audience identification information, to not emit the prompt for at least a first time period after the at least one audience member is identified.

11. The non-transitory computer readable storage medium of claim 10 , wherein the instructions, when executed, cause the one or more processors to cause the people meter to emit the prompt in response to not identifying a number of audience members in the second frame of audience image data equal to the heat blob count.

12. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the one or more processors to identify the at least one audience member based on a second comparison of the second signatures generated from the second audio data with a library of reference signatures, the second comparison performed when the first audience count matches the heat blob count.

13. The non-transitory computer readable storage medium of claim 12 , wherein the instructions, when executed, cause the one or more processors not to capture the second frame of audience image data in response to identifying the at least one audience member.

14. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the one or more processors to identify at least one speech pattern based on the second signatures generated from the second audio data.

15. A method to measure an audience in a media environment, the method comprising:

generating first media identification signatures to identify media presented by a media device, the first media identification signatures to be generated from first audio data obtained with a first audio sensor in the media environment;

determining a first audience count based on second signatures generated, based on a same signature generation technique as the first media identification signatures, from second audio data obtained with a second audio sensor in the media environment;

determining a heat blob count based on a first frame of thermal image data captured in the media environment;

capturing a second frame of audience image data associated with a field of view, the field of view focused based on the first frame of thermal image data captured in the media environment; and

identifying at least one audience member based on a comparison of the second frame of audience image data with a library of reference audience images, the comparison performed in response to the first audience count not matching the heat blob count.

16. The method of claim 15 , further including causing a people meter, which is to emit a prompt for audience identification information, to not emit the prompt for at least a first time period after the at least one audience member is identified.

17. The method of claim 16 , further including causing the people meter to emit the prompt in response to not identifying a number of audience members in the second frame of audience image data equal to the heat blob count.

18. The method of claim 15 , further including identifying the at least one audience member based on a second comparison of the second signatures generated from the second audio data with a library of reference signatures, the second comparison performed when the first audience count matches the heat blob count.

19. The method of claim 18 , further including not capturing the second frame of audience image data in response to identifying the at least one audience member.

20. The method of claim 15 , further including identifying at least one speech pattern based on the second signatures generated from the second audio data.