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People detection remains a challenging field within computer vision, the focus being placed mainly on the quantification of discreet amount of people. This paper reports on the progress related to the Urban Instant Project and deals specifically with a first attempt at automatically detecting and quantifying the continuous amount of people present in any given video record of the same format taken from a walking observer point of view. In order to do so, we use the optical flow approach to image reading. This yields a first quantification of information in the shape of people within the total field of vision.

blucher design proceedings

Hacia una Instantánea Urbana. Captura, Lectura y Manejo Automático de Información en Forma de Personas a Partir de Registros Videográficos a Nivel de Observador