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Texture-based region tracking using Gaussian Markov random fields for cilia motion analysis

Texture-based region tracking using Gaussian Markov random fields for cilia motion analysis
Texture-based region tracking using Gaussian Markov random fields for cilia motion analysis
Region tracking becomes a challenging problem at the presence of low contrast and textured images such as cilia video images where beating cilia appear as moving texture. Tracking such patterns requires extracting of features that are capable of discriminating them effectively. In this paper, a method based on texture features for region tracking is proposed. The texture features are extracted from a sequence of images using Gaussian Markov Random Fields (GMRF). These features are employed to track the motion of a given region and extract its trajectory. The proposed method is evaluated on synthetic samples generated for this purpose and demonstrates good tracking performance depending only on texture features. Our proposed method is successfully utilized to extract the trajectory of the cilia motion which could help to analyze the beating behavior of cilia.
texture analysis, cilia videos, texture tracking, texture motion
1522-4880
1292-1296
IEEE
Al Makady, Yasseen Hamad
8125c167-d6ef-45bf-ac22-b9a7e72d36fd
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Al Makady, Yasseen Hamad
8125c167-d6ef-45bf-ac22-b9a7e72d36fd
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf

Al Makady, Yasseen Hamad and Mahmoodi, Sasan (2019) Texture-based region tracking using Gaussian Markov random fields for cilia motion analysis. In 2019 IEEE International Conference on Image Processing (ICIP). IEEE. pp. 1292-1296 . (doi:10.1109/ICIP.2019.8803752).

Record type: Conference or Workshop Item (Paper)

Abstract

Region tracking becomes a challenging problem at the presence of low contrast and textured images such as cilia video images where beating cilia appear as moving texture. Tracking such patterns requires extracting of features that are capable of discriminating them effectively. In this paper, a method based on texture features for region tracking is proposed. The texture features are extracted from a sequence of images using Gaussian Markov Random Fields (GMRF). These features are employed to track the motion of a given region and extract its trajectory. The proposed method is evaluated on synthetic samples generated for this purpose and demonstrates good tracking performance depending only on texture features. Our proposed method is successfully utilized to extract the trajectory of the cilia motion which could help to analyze the beating behavior of cilia.

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More information

Accepted/In Press date: 15 June 2019
e-pub ahead of print date: September 2019
Venue - Dates: 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019-08-22 - 2019-08-25
Keywords: texture analysis, cilia videos, texture tracking, texture motion

Identifiers

Local EPrints ID: 433616
URI: http://eprints.soton.ac.uk/id/eprint/433616
ISSN: 1522-4880
PURE UUID: 82f0f54d-6153-4d67-bb3c-a62d18415b3f
ORCID for Yasseen Hamad Al Makady: ORCID iD orcid.org/0000-0002-1583-1777

Catalogue record

Date deposited: 28 Aug 2019 16:30
Last modified: 12 Sep 2019 00:40

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