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A Particle Filtering Approach to Salient Video Object Localization

Gray, C, James, S, Collomosse, J and Asente, P (2014) A Particle Filtering Approach to Salient Video Object Localization In: Proceedings of International Conference on Image Processing (ICIP), 2014-10-27 - 2014-10-30, Paris.

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Abstract

We describe a novel fully automatic algorithm for identifying salient objects in video based on their motion. Spatially coherent clusters of optical flow vectors are sampled to generate estimates of affine motion parameters local to super-pixels identified within each frame. These estimates, combined with spatial data, form coherent point distributions in a 5D solution space corresponding to objects or parts there-of. These distributions are temporally denoised using a particle filtering approach, and clustered to estimate the position and motion parameters of salient moving objects in the clip. We demonstrate localization of salient object/s in a variety of clips exhibiting moving and cluttered backgrounds.

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
Gray, CUNSPECIFIEDUNSPECIFIED
James, SUNSPECIFIEDUNSPECIFIED
Collomosse, JUNSPECIFIEDUNSPECIFIED
Asente, PUNSPECIFIEDUNSPECIFIED
Date : 2014
Identification Number : 10.1109/ICIP.2014.7025038
Contributors :
ContributionNameEmailORCID
PublisherIEEE, UNSPECIFIEDUNSPECIFIED
Additional Information : © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 25 Feb 2015 19:04
Last Modified : 26 Feb 2015 02:33
URI: http://epubs.surrey.ac.uk/id/eprint/805872

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