Digital video stabilization based on adaptive camera trajectory smoothing

Autor(es)

Souza, Marcos R. ; Pedrini, Helio

• Tipo de documento: Artigo Científico
• Fonte: EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING; v. N/A, p. 11-pg., 2018-05-30.

Resumo

The development of multimedia equipments has allowed a significant growth in the production of videos through professional and amateur cameras, smartphones, and other mobile devices. Examples of applications involving video processing and analysis include surveillance and security, telemedicine, entertainment, teaching, and robotics. Video stabilization refers to the set of techniques required to detect and correct glitches or instabilities caused during the video acquisition process due to vibrations and undesired motion when handling the camera. In this work, we propose and evaluate a novel approach to video stabilization based on an adaptive Gaussian filter to smooth the camera trajectories. Experiments conducted on several video sequences demonstrate the effectiveness of the method, which generates videos with adequate trade-off between stabilization rate and amount of frame pixels. Our results were compared to YouTube's state-of-the-art method, achieving competitive results. (AU)

• Processo FAPESP: 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?
• Beneficiário: Alexandre Xavier Falcão
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 17/12646-3 - Déjà vu: coerência temporal, espacial e de caracterização de dados heterogêneos para análise e interpretação de integridade
• Beneficiário: Anderson de Rezende Rocha
• Modalidade de apoio: Auxílio à Pesquisa - Temático