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

SUBUDHI, BADRI NARAYAN

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

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

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.

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Editorial
LAP Lambert Academic Publishing
Año de publicación
2009
Idioma
Inglés
ISBN 10 
3838314190
ISBN 13 
9783838314198
Encuadernación
Tapa blanda
Número de páginas
172
Contacto del fabricante
no disponible
Persona responsable
no disponible