Robust video stabilization based on motion intention for low-cost micro aerial vehicles

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/22279

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.contributor.author	Aguilar, Wilbert
dc.contributor.author	Angulo Bahón, Cecilio
dc.date	2014
dc.identifier.citation	Aguilar, W.; Angulo, C. Robust video stabilization based on motion intention for low-cost micro aerial vehicles. A: International Multi-Conference on Systems, Signals and Devices. "Proceedings 11th International Multi-Conference on Systems, Signals and Devices (SSD 2014)". Castelldefels: 2014, p. 1-6.
dc.identifier.citation	978-1-4799-3865-0
dc.identifier.uri	http://hdl.handle.net/2117/22279
dc.language.iso	eng
dc.relation	http://cataleg.upc.edu/record=b1437542~S1*cat
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject	Image processing--Research
dc.subject	Robust control
dc.subject	Imatges -- Processament
dc.subject	Control automàtic
dc.title	Robust video stabilization based on motion intention for low-cost micro aerial vehicles
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Currently, different hand-held devices as domestic cameras, smart-phones, tablets, or on-board cameras for robots are becoming popular for video capturing. A main concern with these gadgets is undesired movement between consecutive frames. Video stabilization is a technique with increasing impact for solving this problem. In this paper, a proposal is introduced for robust video stabilization, in particular for on-board cameras in micro aerial vehicles. It is based on a combination of the RANSAC (RANdom SAmple Consensus) algorithm and gray level differences as cost function for local motion parameter estimation, as well as a low-pass filter for global motion smoothing. Experimentation will illustrate about of the robustness proposed solution.
dc.description.abstract	Peer Reviewed

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