Dynamic texture detection, segmentation and analysis

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Dynamic texture detection, segmentation and analysis

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Conference On Image And Video Retrieval archive
Proceedings of the 6th ACM international conference on Image and video retrieval table of contents

Amsterdam, The Netherlands

Pages: 131 - 134

Year of Publication: 2007

ISBN:978-1-59593-733-9

Authors

B. U. Toreyin	Bilkent University, Ankara, Turkey
Y. Dedeoglu	Bilkent University, Ankara, Turkey
A. E. Cetin	Bilkent University, Ankara, Turkey
S. Fazekas	SZTAKI Budapest, Hungary
D. Chetverikov	SZTAKI Budapest, Hungary
T. Amiaz	Tel Aviv University, Israel
N. Kiryati	Tel Aviv University, Israel

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 11, Downloads (12 Months): 83, Citation Count: 0

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abstract references index terms collaborative colleagues

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ABSTRACT

Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, trees in the wind, sky, sea and ocean waves etc. In this showcase, (i) we develop real-time dynamic texture detection methods in video and (ii) present solutions to video object classification based on motion information.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Yigithan Dedeoglu, B. Ugur Toreyin, Ugur Gudukbay, A. Enis Cetin, "Real-time Fire and Flame Detection in Video", IEEE 30th Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP'05, Philadelphia, USA, 2005.
	2	B. Ugur Töreyin , Yigithan Dedeoglu , Ugur Güdükbay , A. Enis Çetin, Computer vision based method for real-time fire and flame detection, Pattern Recognition Letters, v.27 n.1, p.49-58, 1 January 2006 [doi>10.1016/j.patrec.2005.06.015]
	3	B. Ugur Toreyin, Yigithan Dedeoglu, A. Enis Cetin, "Flame detection in video using hidden Markov models", IEEE Int. Conf. On Image Proc., ICIP 2005, Genoa, Italy.
	4	B. Ugur Toreyin, Yigithan Dedeoglu, A. Enis Cetin, "Wavelet Based Real-Time Smoke Detection in Video", 13th European Signal Processing Conference EUSIPCO 2005, Antalya, Turkey.
	5	B. Ugur Toreyin, Yigithan Dedeoglu, A. Enis Cetin, "Contour Based Smoke Detection in Video Using Wavelets", 14th European Signal Processing Conference EUSIPCO 2006, Florance, Italy.
	6	B. Ugur Toreyin and A. Enis Cetin, "Wavelet Based Detection of Moving Tree Branches and Leaves in Video", IEEE Int. Symposium on Circuits and Systems, ISCAS 2006, Kos, Greece.
	7	S. Fazekas and D. Chetverikov. Normal versus complete flow in dynamic texture recognition: A comparative study. In Int. Workshop on Texture Analysis and Synthesis, pages 37--42, 2005.
	8	R. Péteri, M. Huskies, and S. Fazekas. DynTex: A comprehensive database of Dynamic Textures, "http://www.cwi.nl/projects/dyntex", 2006.
	9	T. Amiaz, S. Fazekas, D. Chetverikov, and N. Kiryati. Detecting Regions of Dynamic Texture. In: Int. Conf. on Scale Space and Variational Methods in Computer Vision, 2007 (accepted for publication).

INDEX TERMS

Keywords:
dynamic textures in video, fire detection, smoke detection

Collaborative Colleagues:

B. U. Toreyin: colleagues

Y. Dedeoglu: colleagues

A. E. Cetin: colleagues

S. Fazekas: colleagues

D. Chetverikov: colleagues

T. Amiaz: colleagues

N. Kiryati: colleagues

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