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This technology tracks colored markers, worn by individuals, and then infers the location of a face by an offset from the marker. [2] Google Streetview uses automatic face detection to blur all faces in the city of Manhattan. [3] Eptascape has a product which provides automatic people tracking and provides privacy-enabled surveillance. [4]
Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.
Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
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GPS Location, Scripts for batch/pre processing, automatic slideshow CDisplay: No No Yes Yes Rotate, Filter Yes configurable Yes No No Slider, automatic slideshow, mouse control digiKam: Yes file name, comments, most Exif and meta data Yes linear, block, complex Yes Exif and IPTC Yes many editing function Yes Yes Yes
The goal of the FERET program was to advance the field of face recognition technology by establishing a common database of facial imagery for researchers to use and setting a performance baseline for face-recognition algorithms. [3] Potential areas where this face-recognition technology could be used include: [1]
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