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A feature based approach for multiple temporal texture detection

conference contribution
posted on 2023-02-06, 23:05 authored by A Rahman, Manzur MurshedManzur Murshed
In this paper we address the problem of detecting the presence of multiple temporal textures in an image sequence. Temporal textures are characterized by their motion pattern based features and we thus attempt an approach to detect the presence of multiple temporal textures in an image sequence from the feature space. We have established the correspondence between first order motion features of temporal textures and that of their mixture in an image sequence. We have developed a Feature based Multi-Texture Detection (FMTD) algorithm and empirically established its correctness by conducting detection experiments with a diverse set of temporal texture mixtures achieving 92.5% average accurate detection rate. © 2006 IEEE.

History

Volume

2

Pagination

1496-+

Location

PEOPLES R CHINA, Guilin

Start date

2006-11-16

End date

2006-11-20

ISSN

2164-5221

ISBN-13

9780780397378

ISBN-10

0780397371

Language

English

Editor/Contributor(s)

Tang XF

Title of proceedings

International Conference on Signal Processing Proceedings, ICSP

Event

8th International Conference on Signal Processing

Publisher

IEEE

Series

International Conference on Signal Processing

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