Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.

Abstract: Methods and apparatus to identify a mood of media are disclosed. An example method includes accessing a known audio known to evoke a first emotion. A first synthesized sample is synthesized based on the known audio sample. A first value of a first feature of the first synthesized sample is calculated. A mood model is created based on the first feature. The mood model is to establish a relationship between the first feature and the first emotion. A second value of the first feature of first media evoking an unknown emotion is identified. The unknown emotion is identified as the first emotion when the mood model indicates that the second value corresponds to the first value.

Abstract: Methods, apparatus, and articles of manufacture to monitor environments are disclosed. An example method includes analyzing a first depth value corresponding to a coordinate of an object of an image captured by a depth sensor, the first depth value having been captured with the depth sensor positioned at a first angle relative to a reference axis; moving the depth sensor to a second angle relative to the reference axis, the second angle being different than the first angle; triggering capture of a second depth value at the coordinate with the depth sensor positioned at the second angle; and calculating a depth gradient for the coordinate based on the first and second depth values.

Abstract: Methods and apparatus to determine a blob people count in images are disclosed. An example method includes forming blobs based on whitened pixels of detected face rectangles in pairs of frames of a plurality of image frame captured over a period of time. The method further calculates locations of the centers of the blobs in each frame of the first one of the pairs of frames. The method further eliminates blobs in a first frame of the first one of the pairs of frames having locations within one or more blobs in the second frame of the first one of the pairs of frames. The method further adds the number of remaining blobs from the first frame to the number of blobs in the second frame of the first one of the pairs of frames to form a blob people count.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to embed information in generated acoustic signals are disclosed. Example methods disclosed herein to embed information in an acoustic signal output from an electric vehicle include obtaining a first audio signal to be used to generate the acoustic signal. Such example also include combining a second signal with the first audio signal, the second signal to convey first digital information that, when detected, indicates a presence of the electric vehicle. Such example methods further include providing the first audio signal with the second signal to an audio circuit that is to output the acoustic signal from the electric vehicle.

Abstract: Methods and apparatus to present supplemental media on a second screen are disclosed. An example method includes establishing a connection between a digital media device and a computing device based on information identifying the computing device and, in response to establishing the connection, receiving, at the computing device, a first notification from the digital media device including a location of supplemental media; accessing the supplemental media; and in response to accessing the supplemental media, sending a second notification that the supplemental media has been accessed, the second notification to enable media skipping on the digital media device.

Abstract: Methods and apparatus to count people in images are disclosed. An example method includes identifying, via a processor, active segments of a plurality of segments of a first frame of image data based on respective fluctuation factors; determining, via the processor, that a first one of the active segments is adjacent to or overlaps with a second one of the active segments; and providing, via the processor, a region of interest in the first frame of image data to an object detection operation, the region of interest including the first and second ones of the active segments and excluding an inactive one of the plurality of segments of the first frame.

Abstract: Methods and apparatus to present supplemental media on a second screen are disclosed. An example method includes establishing a connection between a digital media device and a computing device based on information identifying the computing device and, in response to establishing the connection, enabling the digital media device to skip a first type of media during a time-shifted presentation of media. The skipping is responsive to a command from a remote control device different than the computing device.

Abstract: Methods, apparatus, systems and articles of manufacture to count people in an audience are disclosed. An example method includes analyzing location information collected by a portable device indicative of a location of the portable device. The method also includes analyzing proximity information collected by the portable device indicative of when a person is near the portable device. The example method further includes generating presence information based on (1) the location information and (2) the proximity information, the presence information being indicative of whether the person is present in a media exposure environment associated with a media presentation device.

Abstract: Methods and apparatus to count people in images are disclosed. An example method includes maintaining a history of instances in which a person is detected by a first image sensor and by a second sensor different than the first image sensor at approximately a same time, respective ones of the instances including a first coordinate at which a first person was detected via the first image sensor, and a second coordinate at which the first person was detected via the second image sensor; and, in response to first image data captured by the first image sensor including a second person at the first coordinate, determining whether second image data captured by the second image sensor includes the second person without comparing the first image data to the second image data.

Abstract: Methods and apparatus to count people are disclosed. An example apparatus includes a populator to populate a list with first characteristic datasets obtained from first image data representative of an environment during a first period of time, respective ones of the first characteristic datasets representative of a face detected in the environment during the first period of time; a comparator to compare the first characteristic datasets to each other to determine a first number of unique faces in the environment during the first period of time; and a discarder to delete the first characteristic datasets from the list when the first period of time has ended, the populator to re-populate the list with second characteristic datasets obtained from second image data representative of the environment during a second period of time subsequent to the first period of time.

Abstract: Methods, apparatus, systems and articles of manufacture to count people in an audience are disclosed. An example method includes analyzing location information collected by a portable device indicative of a location of the portable device. The method also includes analyzing proximity information collected by the portable device indicative of when a person is near the portable device. The example method further includes generating presence information based on (1) the location information and (2) the proximity information, the presence information being indicative of whether the person is present in a media exposure environment associated with a media presentation device.

Abstract: Methods, apparatus, and articles of manufacture to monitor environments are disclosed. An example method includes analyzing a first depth value corresponding to a coordinate of an object of an image captured by a depth sensor, the first depth value having been captured with the depth sensor positioned at a first angle relative to a reference axis; moving the depth sensor to a second angle relative to the reference axis, the second angle being different than the first angle; triggering capture of a second depth value at the coordinate with the depth sensor positioned at the second angle; and calculating a depth gradient for the coordinate based on the first and second depth values.

Abstract: Methods and apparatus to count people in images are disclosed. An example method includes analyzing frame pairs of a plurality of frame pairs captured over a period of time to identify a redundant person indication detected in an overlap region, the overlap region corresponding to an intersection of a first field of view and a second field of view; eliminating the identified redundant person indication to form a conditioned set of person indications for the period of time; grouping similarly located ones of the person indications of the conditioned set to form groups; analyzing the groups to identify redundant groups detected in the overlap region; and eliminating the redundant groups from a people tally generated based on the groups.

Abstract: Methods, apparatus, and articles of manufacture to monitor environments are disclosed. An example method includes analyzing a first depth value corresponding to a coordinate of an object of an image captured by a depth sensor, the first depth value having been captured with the depth sensor positioned at a first angle relative to a reference axis; moving the depth sensor to a second angle relative to the reference axis, the second angle being different than the first angle; triggering capture of a second depth value at the coordinate with the depth sensor positioned at the second angle; and calculating a depth gradient for the coordinate based on the first and second depth values.

Abstract: Methods and apparatus to count people in images are disclosed. An example method includes generating a first fluctuation factor for a first frame by averaging fluctuation values of a random set of pixels of the first frame; generating a second fluctuation factor for a person indication area of the first frame by averaging fluctuation values of pixels of the person indication area; and marking the person indication area as a false positive when the second fluctuation factor is less than or equal to the first fluctuation factor.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to embed information in generated acoustic signals are disclosed. Example methods disclosed herein to embed information in an acoustic signal output from an electric vehicle include obtaining a first audio signal to be used to generate the acoustic signal. Such example also include combining a second signal with the first audio signal, the second signal to convey first digital information that, when detected, indicates a presence of the electric vehicle. Such example methods further include providing the first audio signal with the second signal to an audio circuit that is to output the acoustic signal from the electric vehicle.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to utilize audio watermarking for people monitoring are disclosed. Example people monitoring methods disclosed herein include determining, at a user device, whether a first trigger condition for emitting an audio watermark identifying at least one of the user device or a user of the user device is satisfied. Such example methods also include, in response to determining that the first trigger condition is satisfied, providing a first audio signal including the audio watermark to an audio circuit that is to output an acoustic signal from the user device.

Abstract: Methods and apparatus to control a state of data collection devices are disclosed. An example method includes collecting people data from a media exposure environment including a media presentation device; identifying, via a processor, a type of person present in the media exposure environment; when the type of person is a first type of person, refraining from collecting data from the media exposure environment with the processor for a first time period; and when the type of person is a second type of person different than the first type of person, collecting, with the processor, media exposure data from the media exposure environment.

Abstract: Methods and apparatus to count people in images are disclosed. An example method includes identifying, via a processor, active segments of a plurality of segments of a first frame of image data based on respective fluctuation factors; determining, via the processor, that a first one of the active segments is adjacent to or overlaps with a second one of the active segments; and providing, via the processor, a region of interest in the first frame of image data to an object detection operation, the region of interest including the first and second ones of the active segments and excluding an inactive one of the plurality of segments of the first frame.