Automatic Feature-Based Stabilization of Video with Intentional Motion through a Particle Filter

Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and Salgado Álvarez de Sotomayor, Luis and García Santos, Narciso (2009). Automatic Feature-Based Stabilization of Video with Intentional Motion through a Particle Filter. In: "10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008", 20/10/2008-24/10/2008, Juan-les-Pins, Francia. ISBN 978-3-540-88457-6.

Description

Title: Automatic Feature-Based Stabilization of Video with Intentional Motion through a Particle Filter
Author/s:
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • Salgado Álvarez de Sotomayor, Luis
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: 10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008
Event Dates: 20/10/2008-24/10/2008
Event Location: Juan-les-Pins, Francia
Title of Book: Proceedings of 10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008
Date: 2009
ISBN: 978-3-540-88457-6
Volume: Lectur
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

Video sequences acquired by a camera mounted on a hand held device or a mobile platform are affected by unwanted shakes and jitters. In this situation, the performance of video applications, such us motion segmentation and tracking, might dramatically be decreased. Several digital video stabilization approaches have been proposed to overcome this problem. However, they are mainly based on motion estimation techniques that are prone to errors, and thus affecting the stabilization performance. On the other hand, these techniques can only obtain a successfully stabilization if the intentional camera motion is smooth, since they incorrectly filter abrupt changes in the intentional motion. In this paper a novel video stabilization technique that overcomes the aforementioned problems is presented. The motion is estimated by means of a sophisticated feature-based technique that is robust to errors, which could bias the estimation. The unwanted camera motion is filtered, while the intentional motion is successfully preserved thanks to a Particle Filter framework that is able to deal with abrupt changes in the intentional motion. The obtained results confirm the effectiveness of the proposed algorithm

More information

Item ID: 3711
DC Identifier: http://oa.upm.es/3711/
OAI Identifier: oai:oa.upm.es:3711
Official URL: http://www.springerlink.com/content/4531m05172r53156/
Deposited by: Memoria Investigacion
Deposited on: 06 Apr 2011 11:13
Last Modified: 20 Apr 2016 13:12
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