Abstract:
Methods and apparatus to monitor shoppers in a retail environment are disclosed herein. In a disclosed example method involves collecting location information indicative of a measured path of travel of a person through a monitored environment. The example method also involves collecting person detection event information associated with a plurality of zones in the monitored environment. The person detection event information is indicative of detections of the person in each of the zones. In addition, the example method involves determining an adjusted path of travel of the person through the monitored environment based on the location information indicative of the measured path of travel and the person detection event information.
Abstract:
Methods, apparatus, and articles of manufacture for using location information to manage spillover in an audience monitoring system are disclosed. In an example method, a first location signal and a second location signal are received substantially simultaneously at a portable metering device. The first location signal is emitted via a first device located at a first location and includes a first signal characteristic associated with the first location. The second location signal is emitted via a second device located at a second location and includes a second signal characteristic associated with the second location. The first location signal or the second location signal is selected based on the first and second signal characteristics. Media monitoring information is generated based on the selected signal.
Abstract:
Example methods, apparatus, and articles of manufacture determine compliance with usage guidelines of an audience measurement system. Initially, location information associated with an audience member is obtained. It is then determined whether the audience member is in compliance with the usage guidelines based on the location information. Media monitoring information corresponding to the location information is then tagged as non-compliant if the audience member is not in compliance with the usage guidelines.
Abstract:
Methods and apparatus to determine audience viewing of recorded programs are disclosed. An example method disclosed herein comprises displaying a previously recorded program on a display, determining a possible original broadcast time corresponding to the previously recorded program, determining program identifying information corresponding to the previously recorded program, and processing the possible original broadcast time information and the program identifying information to compare the previously recorded program with a known broadcast program.
Abstract:
A rule based compatibility module provides a single unified mechanism for testing rules where testing results depend on various combinations of database queries, computable values, and/or run-string parameters. The testing results may be evaluated within a particular operational environment. The rule based compatibility module encapsulates all versions of compatibility issues, which are highly dependant on the operational context, into one simple mechanism, thereby reducing risks of unexpected behaviors caused by improper or incomplete handling of compatibility issues. In addition, the rule based compatibility module provides a simple mechanism for handling ad-hoc run-string switches used for debugging, or for optional enabling or disabling of features under development.
Abstract:
In a passive identification apparatus for identifying a predetermined individual member of a television viewing audience in a monitored viewing area, a video image of a monitored viewing area is captured. A template matching score is provided for an object in the video image. A Eigenface recognition score is provided for an object in the video image. These scores may be provided by comparing objects in the video image to reference files. The template matching score and the Eigenface recognition score are fused to form a composite identification record from which a viewer may be identified. Body shape matching, viewer tracking, viewer sensing, and/or historical data may be used to assist in viewer identification. The reference files may be updated as recognition scores decline.
Abstract:
An example disclosed method involves collecting first data with first sensors fixed at entrances or exits of aisles in a retail or commercial establishment, and collecting second data with second sensors fixed in the retail or commercial establishment. The first sensors to collect the first data by detecting a first signal type different from a second signal type detected by the second sensors. The example method also involves generating a path of travel of a person in the retail or commercial establishment using the second data, and correcting an error in the path of travel based on the first data.
Abstract:
Methods, apparatus, and articles of manufacture for using location information to manage spillover in an audience monitoring system are disclosed. In an example method, a first location signal and a second location signal are received substantially simultaneously at a portable metering device. The first location signal is emitted via a first device located at a first location and includes a first signal characteristic associated with the first location. The second location signal is emitted via a second device located at a second location and includes a second signal characteristic associated with the second location. The first location signal or the second location signal is selected based on the first and second signal characteristics. Media monitoring information is generated based on the selected signal.
Abstract:
Signature-based program identification apparatus and methods for use with digital audio and/or video systems are disclosed. The disclosed systems and methods develop signatures of digital audio and/or video content from a digital data stream at two or more sites and compare the signatures to one another to identify the content.
Abstract:
Methods and apparatus to identify media content using temporal signal characteristics are disclosed. An example method to identify media content includes generating a first signature based on a media content signal, the first signature comprising a plurality of first normalized features, each normalized feature corresponding to a signal peak and located at a temporal location of the signal peak in the audio signal, correlating the first signature to a reference signature comprising second normalized features to obtain an index, and determining that the first signature represents the same media content as the reference signature when the index is greater than a threshold.