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A Brief Survey of Dynamic Texture Description and Recognition
[chapter]
Advances in Soft Computing
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This paper is a brief survey of approaches to description and recognition of dynamic textures. To our best knowledge, no such survey is currently available. ...
We finish our survey and discussion by concluding that dynamic texture recognition is a novel, exciting and developing research area, where some progress has already been achieved, but a lot of work is ...
doi:10.1007/3-540-32390-2_2
fatcat:bq6m5cqdpjallhnfaxm5vz5dky
Local Binary Pattern Descriptors for Dynamic Texture Recognition
2006
18th International Conference on Pattern Recognition (ICPR'06)
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Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. ...
This is an extension of the LBP approach widely used in still texture analysis, combining the motion and appearance together. ...
This work was supported by the Academy of Finland. ...
doi:10.1109/icpr.2006.768
dblp:conf/icpr/ZhaoP06
fatcat:cxc7ivvwwjdvxpifkr6jsgfi6q
Improving Dynamic Texture Recognition By Using A Color Spatio-Temporal Decomposition
2013
Zenodo
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Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco, 2013 ...
The authors of [6] present a brief survey on description and recognition of DT. ...
In this paper, we address the question of DT description and recognition. This one is an active area of research in computer vision. ...
doi:10.5281/zenodo.43456
fatcat:523i44wmenbwvc4kqvdefguara
Scale-space texture description on SIFT-like textons
2012
Computer Vision and Image Understanding
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Visual texture is a powerful cue for the semantic description of scene structures that exhibit a high degree of similarity in their image intensity patterns. ...
The proposed statistical approach is applicable to both static and dynamic textures. ...
Chetverikov and Péteri [5] gave a brief survey of methods on dynamic texture description and recognition. Earlier dynamic texture classification systems (e.g. ...
doi:10.1016/j.cviu.2012.05.003
fatcat:h3m5ainvjza23knengoog65afa
Characterization and recognition of dynamic textures based on the 2D+T curvelet transform
2013
Signal, Image and Video Processing
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The research context of this article is the recognition and description of dynamic textures. In image processing, the wavelet transform has been successfully used for characterizing static textures. ...
One contribution of this article is to analyse and compare the ability of the 2D+T curvelet transform, a geometric multiscale decomposition, for characterizing dynamic textures in image sequences. ...
Our research context is the recognition and description of dynamic textures [24, 37] . ...
doi:10.1007/s11760-013-0532-4
fatcat:3yqe7xgz7bdjhezpf33ihdp4tm
Two decades of local binary patterns
[chapter]
2015
Advances in Independent Component Analysis and Learning Machines
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2016 pre-print arXiv:1612.06795v1 fatcat:fl6lwn5fjfgbpgpuhzk3qh4tsuOther Versions
A large number of different variants of LBP have been developed to improve its robustness, and to increase its discriminative power and applicability to different types of problems. ...
In this chapter, the most recent and important variants of LBP in 2D, spatiotemporal, 3D, and 4D domains are surveyed. Interesting new developments of LBP in 1D signal analysis are also considered. ...
Finally, a histogram of all codewords from dynamic texture is formed. ...
doi:10.1016/b978-0-12-802806-3.00009-9
fatcat:nijpnowuujeyhmwxekzygtwbtq
Verification of Smoke Detection in Video Sequences Based on Spatio-temporal Local Binary Patterns
2015
Procedia Computer Science
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The recognition results achieved 96-99% and 86-94% of accuracy for dense smoke in dependence of various types of LPBs and shooting artifacts including noise. ...
Therefore, verification of smoke detection is a necessary stage in such systems. ...
Section 2 describes a brief survey of smoke detection and smoke clustering methods. A smoke representation as a dynamic texture is discussed in Section 3. ...
doi:10.1016/j.procs.2015.08.205
fatcat:ve5r27yhzncs5l7nbbgy5tgpju
Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review
2016
Journal of Medical and Biological Engineering
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The sensitivity and specificity are respectively 82 and 74 % for dynamic features, 93 and 60 % for morphological features, 88 and 81 % for textural features, 95 and 86 % for a combination of dynamic and ...
We performed a systematic review of several pattern analysis approaches for classifying breast lesions using dynamic, morphological, and textural features in dynamic contrast-enhanced magnetic resonance ...
Classifiers In this survey, we focus on the most commonly used classifiers, namely ANN, SVM, LDA, TC, and BC. A brief informal description of each classifier is given. ...
doi:10.1007/s40846-016-0163-7
pmid:27656117
pmcid:PMC5016558
fatcat:jqrg75i2ovhxfowbo42sody5y4
Facial Expression Recognition: A Survey
2015
Procedia Computer Science
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This paper presents a quick survey of facial expression recognition. A comparative study is also carried out using various feature extraction techniques on JAFFE dataset. ...
Automatic facial expression recognition system has many applications including, but not limited to, human behavior understanding, detection of mental disorders, and synthetic human expressions. ...
Comparison of popular feature extraction method This section gives a brief description of some of the methods widely used for feature extraction. ...
doi:10.1016/j.procs.2015.08.011
fatcat:gzgse2zkfrbiddstheueauaa64
AN EFFICIENT GAIT RECOGNITION FOR KNOWN AND UNKNOWN COVARIATE CONDITIONS
2022
Zenodo
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A common techniques for gait recognition and measurement need a degree of intervention leading to the introduction of unknown covariate conditions, and hence this significantly limits the practical use ...
of the present gait recognition and analysis system. ...
We give a brief description of feature selection and classification techniques used in gait recognition. ...
doi:10.5281/zenodo.6877852
fatcat:aoezofoybbcdxkcuy52bbcp2iq
Multi-Faceted Hierarchical Image Segmentation Taxonomy ( MFHIST)
2021
IEEE Access
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The paper gives an illustration of populating MFHIST, to provide the reader a quick grasp of few important state-of-art image segmentation research works and their adaptations. ...
presented in a hierarchical manner -scope, requirement, control, feature, image representation and approach specifications. ...
Brief description is given below about the approaches and the related works by researchers. ...
doi:10.1109/access.2021.3055678
fatcat:r3aaee4vrbgqhdzlb6qc5vkefy
A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition
[chapter]
2009
Lecture Notes in Computer Science
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The four decomposition schemes are presented and successfully applied on a large dynamic texture database. ...
This paper presents four spatio-temporal wavelet decompositions for characterizing dynamic textures. ...
Other fields of research are dynamic texture detection [4] or dynamic texture segmentation [2, 5] . Our research context is the recognition and description of dynamic textures [8, 14] . ...
doi:10.1007/978-3-642-02172-5_41
fatcat:jzxubw3subho3ki4xklygytsam
Content-Based Image Retrieval Features: A Survey
2018
International journal of advanced networking and applications
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Texture features have been used for images of documents, segmentation-based recognition,and satellite images. ...
The local shape is more related to the expressing of result instead of the method. Local shape features may be derived from the texture properties and the color derivatives. ...
MussaratYasmin, Muhammad AlyasShahid, and AmjadRehman. "Face Recognition: A Survey." ...
doi:10.35444/ijana.2018.100111
fatcat:m7epi7eyinesrlakzafksospnq
Global and Regional Features
[chapter]
2014
Computer Vision Metrics
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Here is a brief historical survey of texture metrics.
1950s thru 1970s-Global Uniform Texture Metrics Auto-correlation or cross-correlation was developed by Kaiser[34] in 1955 as a method of looking ...
One similarity between activity recognition and dynamic textures is that the features or textures change from frame to frame over time, so for both activity recognition and dynamic texture analysis, tracking ...
doi:10.1007/978-1-4302-5930-5_3
fatcat:wh5qyrhtqrav5ip5z3ck7uiqiu
A Novice Guide towards Human Motion Analysis and Understanding
[article]
2015
arXiv
pre-print
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Moreover, we provide a long list of public datasets and discuss briefly some examples of these datasets. Finally, we provide a general discussion of the subject from the aspect of computer vision. ...
Fifth, we exhibit how different surveys are structured. ...
Wang and Singh [8] provided a survey on two main areas of human dynamics analysis that are related to the biometric research. ...
arXiv:1509.01074v1
fatcat:kpqf277iw5f2bmlmog2ya2awci
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