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Title: Segmentación interactiva multi-clase de personas
Author: Primo González, Carlos
Director: Hernández Vela, Antonio
Escalera Guerrero, Sergio
Others: Universitat Oberta de Catalunya
Keywords: segmentation
artificial vision
Random Walks
Issue Date: 1-Jun-2011
Publisher: Universitat Oberta de Catalunya
Abstract: People segmentation in images is very difficult due to the variability of different conditions, such as the position they adopt, background color, etc. To perform this segmentation, different techniques exist that, given an input image, they return a labelling of the different objects present in it. The purpose of this project is to conduct a comparison of recent techniques that allow multilabeling, and which are semi-automatic, specifically in the case of people segmentation. From an initial labeling identical for all the used methods, an analysis of them has been performed, evaluated over a public image dataset, and analyzing 2 points: interaction level, and efficiency.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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File Description SizeFormat 
Cprimog_TFC_0611.pdfMemoria del proyecto2.82 MBAdobe PDFView/Open
CPrimog_TFC_Presentacion_0611.pdfPresentación del proyecto906.51 kBAdobe PDFView/Open

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