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2D and 3D automatic landmarking of body contours for people recognition

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PLANTILLA TRABAJOS EN EXTENSO_Karla.pdf (719,8Kb) (Restricted access)   Request copy 

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Trejo Ramírez, Karla AndreaMés informacióMés informació
Angulo Bahón, CecilioMés informacióMés informacióMés informació
Document typeConference lecture
Defense date2016
PublisherInnovation Match MX
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Automatic landmarking has overcome a main drawback in Active Appearance Models (AAMs) computer vision technique: landmarks must be manually placed on training images to construct the shape mesh. Although AAMs are a well-known procedure for statistical matching of object shape and texture between images, hand-landmarking makes it very time consuming and not automatically applicable on new objects observed in images. There is a vast body of work applying automatic landmarking on faces or body joints for AAM training and several other purposes. In this paper, first we explore the possibility to extend one of these methods to full body contours on still images supplied by a single camera and demonstrate it is a plausible approach in terms of accuracy and speed measures from experimentation. Then, a 3D upgrade approach is presented using a RGB-D sensor to detect and automatically landmark body shapes with high accuracy in real-time, as a comparison with the latest technology. Our proposal represents a new research line in human body pose tracking with a single-view camera and the first steps of a novel contribution in learning body appearance. Hence, further implementation in robots would lead to people being recognized and identified by them with any vision resources, no matter how primitive or Advanced in human-robot interaction tasks.
CitationTrejo, K., Angulo, C. 2D and 3D automatic landmarking of body contours for people recognition. A: Innovation Match MX, Foro Internacional de Talento Mexicano. "Innovation Match MX 2015-2016: 1er Foro Internacional de Talento Mexicano: memorias de ponencias IMMX". Guadalajara: Innovation Match MX, 2016, p. 1-8. 
URIhttp://hdl.handle.net/2117/103506
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.446]
  • GREC - Grup de Recerca en Enginyeria del Coneixement - Ponències/Comunicacions de congressos [114]
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