Video Image Segmentation and Object Detection Using MRF Model: A Spatio-temporal Segmentation scheme for Moving Object Detection - Couverture souple

SUBUDHI, BADRI NARAYAN

 
9783838314198: Video Image Segmentation and Object Detection Using MRF Model: A Spatio-temporal Segmentation scheme for Moving Object Detection
Couverture souple
ISBN 10 : 3838314190 ISBN 13 : 9783838314198
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

In this book, the problem of video object detection has been addressed. The object is detected by integrating the spatial segmentation as well as temporal segmentation. The spatial segmentation of frames has been formulated in spatio-temporal framework. A Compound MRF model is proposed to model the video sequence. This model takes care of the spatial and the temporal distributions as well. Besides taking in to account the pixel distributions in temporal directions, it also model the edges in the temporal direction. This model has been named as edgebased model. The MAP estimates of the labels have been obtained by a hybrid algorithm and is devised by integrating that global as well as local convergent criterion. Similarly temporal segmentation is obtained by a proposed entropy based window growing scheme. The spatial and temporal segmentation have been integrated to obtain the Video Object Plane (VOP) and hence object detection.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this book, the problem of video object detection has been addressed. The object is detected by integrating the spatial segmentation as well as temporal segmentation. The spatial segmentation of frames has been formulated in spatio-temporal framework. A Compound MRF model is proposed to model the video sequence. This model takes care of the spatial and the temporal distributions as well. Besides taking in to account the pixel distributions in temporal directions, it also model the edges in the temporal direction. This model has been named as edgebased model. The MAP estimates of the labels have been obtained by a hybrid algorithm and is devised by integrating that global as well as local convergent criterion. Similarly temporal segmentation is obtained by a proposed entropy based window growing scheme. The spatial and temporal segmentation have been integrated to obtain the Video Object Plane (VOP) and hence object detection.

Biographie de l'auteur

Mr.Badri Narayan Subudhi received BE degree in E&TC from the BPUT, India in 2004 and M. Tech degree in Elect. syst. and Comm. Engg. from N.I.T, Rourkela, India. Dr. Pradipta Kumar Nanda is Professor and Head of the Department of E&TC, ITER, Bhubaneswar. Prior to this, he had served N. I. T, Rourkela from 1986 to 2007.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838314190
ISBN 13 
9783838314198
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
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