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Alumno

Octavio Israel Rentería Vidales

   »  Generación: Septiembre2017
   »  Grado: Maestría en Computación
   »  Asesor: Juan Carlos Cuevas Tello
   »  Co-asesor: Mariano José Juan Rivera Meraz
   »  Línea de Investigación: Ninguna
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NOMBRE DE TESIS
Compression of Convolutional Neural Networks on an embedded system applied to optical flow

RESUMEN:

Optical flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene, this concept was introduced by the American psychologist James J. Gibson in the 1940s to describe the visual stimulus provided to animals moving through the world. While the term was born in the psychology field to describe some individuals behaviour, this concept is used in the field of computer vision to describe some techniques for detection of moving objects. The moving object problem is a challenge problem that has gained substantial attention in the recent years due its different applications such as object recognition, scene analysis, video surveillance, automatic robot navigation, 3D reconstruction and people tracking.