DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/14460

Arxiu Descripció MidaFormat
z.pdf167 kBAdobe PDFThumbnail

Citació: Alquezar, R.; Amézquita, N.; Serratosa, F. Tracking deformable objects and dealing with same class object occlusion. A: "International Conference on Computer Vision Theory and Applications". INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication, 2009, p. 590-594.
Títol: Tracking deformable objects and dealing with same class object occlusion
Autor: Alquézar Mancho, René Veure Producció científica UPC; Amézquita, N; Serratosa Casanelles, Francesc
Editorial: INSTICC Press. Institute for Systems and Technologies of Information, Control and Communication
Data: 2009
Tipus de document: Part of book or chapter of book
Resum: This paper presents an extension of a previously reported method for object tracking in video sequences to handle the problems of object crossing and occlusion by other objects in the same class that the one followed. The proposed solution is embedded in a system that integrates recognition and tracking in a probabilistic framework. In a recent work, a method to approach the object occlusion problem was proposed that failed when the object crossed or was occluded by another object of the same class. Here we present an attempt to overcome this limitation and show some promising results. The method is based on the assumption that when two objects cross each other there is not a brusque change of the trajectories. Our system uses object recognition results provided by a neural net that are computed from colour features of image regions for each frame. The location of tracked objects is represented through probability images that are updated dynamically using both recognition and tracking results. From these probabilities and a prediction of the motion of the object in the image, a binary decision is made for each pixel and object.
ISBN: 978-989-8111-692
URI: http://hdl.handle.net/2117/14460
Versió de l'editor: http://visapp.visigrapp.org/VISAPP2009/cfp.asp
Apareix a les col·leccions:Altres. Enviament des de DRAC
SOCO - Soft Computing. Capítols de llibre
Departament de Ciències de la Computació. Capítols de llibre

Stats Mostra les estadístiques d'aquest ítem

SFX Query

Aquest ítem (excepte textos i imatges no creats per l'autor) està subjecte a una llicència de Creative Commons Llicència Creative Commons
Creative Commons


Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius