Kernel bandwidth estimation for moving object detection in non-stabilized cameras

Cuevas Rodríguez, Carlos, Mohedano del Pozo, Raúl and García Santos, Narciso (2012). Kernel bandwidth estimation for moving object detection in non-stabilized cameras. "Optical Engineering", v. 51 (n. 4); pp.. ISSN 0091-3286. https://doi.org/10.1117/1.OE.51.4.040501.

Description

Title: Kernel bandwidth estimation for moving object detection in non-stabilized cameras
Author/s:
  • Cuevas Rodríguez, Carlos
  • Mohedano del Pozo, Raúl
  • García Santos, Narciso
Item Type: Article
Título de Revista/Publicación: Optical Engineering
Date: April 2012
ISSN: 0091-3286
Volume: 51
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The evolution of the television market is led by 3DTV technology, and this tendency can accelerate during the next years according to expert forecasts. However, 3DTV delivery by broadcast networks is not currently developed enough, and acts as a bottleneck for the complete deployment of the technology. Thus, increasing interest is dedicated to ste-reo 3DTV formats compatible with current HDTV video equipment and infrastructure, as they may greatly encourage 3D acceptance. In this paper, different subsampling schemes for HDTV compatible transmission of both progressive and interlaced stereo 3DTV are studied and compared. The frequency characteristics and preserved frequency content of each scheme are analyzed, and a simple interpolation filter is specially designed. Finally, the advantages and disadvantages of the different schemes and filters are evaluated through quality testing on several progressive and interlaced video sequences.

More information

Item ID: 10885
DC Identifier: https://oa.upm.es/10885/
OAI Identifier: oai:oa.upm.es:10885
DOI: 10.1117/1.OE.51.4.040501
Official URL: http://spie.org/x648.html?product_id=977823
Deposited by: Memoria Investigacion
Deposited on: 16 May 2012 11:22
Last Modified: 20 Apr 2016 19:05
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