Approach to automatic video motion segmentation

Jiang, R.M. and Crookes, D. (2007) Approach to automatic video motion segmentation. Electronics Letters, 43 (18). 968 - 970. ISSN 0013-5194

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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.

Item Type:
Journal Article
Journal or Publication Title:
Electronics Letters
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2208
Subjects:
ID Code:
134804
Deposited By:
Deposited On:
22 Jun 2019 09:19
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 12:04