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Multiple temporal texture detection using feature space mapping

conference contribution
posted on 06.12.2017, 00:00 by Ashfaqur Rahman, M Murshed
Characterization of visual processes consisting of multiple temporal textures is of vital importance to computer vision research, with a diverse set of applications in the field of robot navigation, remote monitoring (for the prevention of natural disasters), traffic monitoring, and homeland security applications etc. In the current literature of temporal textures, however studies are mostly limited to characterization of single temporal textures. In this paper we aim to address the problem of detecting the presence of multiple temporal textures in an image sequence for real time situations like bushfire monitoring by establishing a correspondence between feature space of temporal textures and that of their mixture in an image sequence. Accuracy of our proposed technique is both analytically and empirically established with detection experiments yielding 92.5% average accurate detection rate on a diverse set of temporal texturemixtures.

History

Parent Title

Proceedings of the 6th ACM international conference on Image and Video Retrieval (CIVR 2007), July 9-11 2007

Start Page

417

End Page

424

Number of Pages

8

Start Date

01/01/2007

ISBN-13

9781595937339

Location

Amsterdam, Netherlands

Publisher

Association for Computing Machinery

Place of Publication

New York, USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Monash University; Not affiliated to a Research Institute;

Era Eligible

Yes

Name of Conference

International Conference on Image and Video Retrieval

Exports

CQUniversity

Exports