A facial recognition system determines an estimated biological age of a subject in a current image. A facial recognition controller identifies the subject in the current image using a number of historical images, at least one of which includes the subject and a logically associated identifier. The system compares the estimated biological age of the subject to a defined threshold value. The system determines a temporal difference between a time/date logically associated with the current image and a time/date logically associated with the historical image. If the estimated biological age of the subject in the current image is less than a defined age threshold and the temporal difference between the time/date logically associated with the current image and a time/date logically associated with the historical image is less than a temporal threshold, the identifier logically associated with the historical image is logically associated with the current image.

An emotional enhancement system for music and film that uses audio and video input to select or generate a stimulation pattern which stimulates the user's face using lights and electrical stimulation directed to certain points on the user's face and head which are believed to induce certain emotions. Using the system, a user's emotional experience of the music or film can be enhanced by inducing emotions in the user coordinated with portions of the music or film. In some embodiments, biometric sensors or cameras and facial tracking software may be used to monitor the emotions displayed by a user while listening to music or watching films, and adjust the stimulation accordingly.

Techniques are provided that may be generally associated with content and media, such as digital photos or videos from events. Techniques are provided, for example, relating to creating, identifying, identifying one or more individuals in, selecting, characterizing, obtaining, providing, storing, organizing or searching such content or media or elements thereof. Digital photos or video, for example, may be taken prior to or after an event, in which RFID or barcode technology is used in obtaining metadata associated with the images that may include identification information regarding individuals in the photos. Facial recognition or appearance recognition technology may be used in identifying individuals in digital photos or video taken at events, and may be made available to individuals or accounts. Techniques are also provided that include use of RFID technology, and may include enhancements thereto, to identify individuals in digital photos or videos taken at events from RFID tags.

Aspects of the disclosure can provide method for identifying a face where multiple images to be identified are received. Each of the multiple images includes a face image part. Each face image of face images in the multiple images to be identified is extracted. An initial figure identification result of identifying a figure in the each face image is determined by matching a face in the each face image respectively to a face in a target image in an image identification library. The face images are grouped. A target figure identification result for each face image in each group is determined according to the initial figure identification result for the each face image in the each group.

Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, that is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

A smart badge, and a method, system and computer program product for badge detection and compliance are disclosed. The method, carried out within a security system, includes capturing, using a camera, an image of a person. The captured image includes a face of the person within a first pixel region of the image. The method also includes performing facial recognition on the first pixel region to determine an identity of the person. The method also includes performing video analytics, on a second pixel region of the image, different than the first pixel region, to make a first determination that the identified person is wearing a badge, or to make a second determination that no badge is being properly worn by the identified person. The method also includes generating an alert, specific to the identified person, within the security system based at least in part on the first or second determination.

Method and device are described for customizing the content selection to present on a display device based on identifying the viewer of the device. In one embodiment, the present disclosure relates to selecting from among a group of digital images, those images that are most likely to be of interest to the viewer. In general, many of the images available to the display device will be comprised of images containing subject faces. Using the relationship information to predict subject affinity, the display device computes an image affinity for each image by accumulating the individual subject affinity predictions between the viewer and each subject identified in each image. The image affinities are used to select images for presentation on the display device.

An information processing device includes: an acquisition unit that acquires feature information of a target depicted in images; a storage unit that stores registration information containing feature information of registered targets; and a distinction unit that distinguishes, on a basis of a result of identification of the feature information acquired by the acquisition unit and the feature information contained in the registration information, one registered target of the registered targets, the one registered target corresponding to the target in the images. The registration information contains zip codes of sites relating to the registered targets. The distinction unit identifies a zip code of a site relating to the target in the images and zip codes contained in registration information with each other, and distinguishes one registered target corresponding to the target in the images using the result of identification of the feature information and using the identification of the zip codes.

An information processing apparatus (100) includes a collation unit (102) that collates first feature information extracted from a person included in a first image (10) with first feature information indicating a feature of a retrieval target person, an extraction unit (104) that extracts second feature information from the person included in the first image in a case where a collation result in the collation unit (102) indicates a match, and a registration unit (106) that stores, in a second feature information storage unit (110), the second feature information extracted from the person included in the first image.

A computer readable medium having executable code to: receive at least one of a first image of the user or a first representation of a face of the user; if a first image of the user was received, then generate a generated representation of the face of the user using the first image; capture a second image of the user and generate a second representation of the face of the user using the second image; receiving an authentication factor; determine validity of the authentication factor; determine a confidence of a match between the second representation and at least one of the first representation and the generated representation; and if the confidence is below a threshold and the authentication factor is determined to be valid, at least one of supplement or replace at least one of the first image or first representation with the second image or second representation, respectively.