Approach to automatic video motion segmentation

R.M. Jiang, Daniel Crookes

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

A novel, fast automatic motion segmentation approach is presented. It differs from conventional pixel or edge based motion segmentation approaches in that the proposed method uses labelled regions (facets) to segment various video objects from the background. Facets are clustered into objects based on their motion and proximity details using Bayesian logic. Because the number of facets is usually much lower than the number of edges and points, using facets can greatly reduce the computational complexity of motion segmentation. The proposed method can tackle efficiently the complexity of video object motion tracking, and offers potential for real-time content-based video annotation.
Original languageEnglish
Pages (from-to)968-970
Number of pages3
JournalElectronics Letters
Volume43
Issue number18
DOIs
Publication statusPublished - 2007

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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