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Wide Baseline Multi-View Video Matting using a Hybrid Markov Random Field

Wang, T, Collomosse, JP and Hilton, A (2014) Wide Baseline Multi-View Video Matting using a Hybrid Markov Random Field In: International Conference on Pattern Recognition (ICPR), 2014-08-24 - ?, Stockholm.

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Abstract

We describe a novel framework for segmenting a time- and view-coherent foreground matte sequence from synchronised multiple view video. We construct a Markov Random Field (MRF) comprising links between superpixels corresponded across views, and links between superpixels and their constituent pixels. Texture, colour and disparity cues are incorporated to model foreground appearance. We solve using a multi-resolution iterative approach enabling an eight view high definition (HD) frame to be processed in less than a minute. Furthermore we incorporate a temporal diffusion process introducing a prior on the MRF using information propagated from previous frames, and a facility for optional user correction. The result is a set of temporally coherent mattes that are solved for simultaneously across views for each frame, exploiting similarities across views and time.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Wang, TUNSPECIFIEDUNSPECIFIED
Collomosse, JPUNSPECIFIEDUNSPECIFIED
Hilton, AUNSPECIFIEDUNSPECIFIED
Date : 24 August 2014
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 22 Jul 2014 11:44
Last Modified : 22 Jul 2014 13:33
URI: http://epubs.surrey.ac.uk/id/eprint/805340

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