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Dynamic Texture Recognition Using Volume Local Binary Patterns [chapter]

Guoying Zhao, Matti Pietikäinen
Dynamical Vision  
The textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in still texture analysis, combining the motion and appearance together.  ...  Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures has attracted growing attention.  ...  Renaud Péteri for providing the DynTex database used in experiments. This work was supported by the Academy of Finland.  ... 
doi:10.1007/978-3-540-70932-9_13 dblp:conf/eccv/ZhaoP06 fatcat:7rlqz7pt6navtorojnfzlnzr4y

Description of Rotation-Invariant Textures using Local Binary Pattern Features

Prashant H.Gutte, Prashant K. Kharat
2014 International Journal of Computer Applications  
Uniform Local binary pattern (LBP) is a combination of structural and statistical analysis model for classification of both static and dynamic textures.  ...  For dynamic texture classification, LBP-TOP method is used, which computes LBP from three orthogonal planes. It combines both motion and appearance together for classification.  ...  CONCLUSION Rotation-Invariant local binary pattern method, LBP-HF and LBP-TOP outperform existing local binary patterns methods for static textures and Dynamic textures.  ... 
doi:10.5120/17404-7969 fatcat:dvqblydxmjfavhdjulxbnwpv6a

Smoke detection in video sequences based on dynamic texture using volume local binary patterns

2017 KSII Transactions on Internet and Information Systems  
In this paper, a video based smoke detection method using dynamic texture feature extraction with volume local binary patterns is studied.  ...  Several general volume local binary patterns were used to extract dynamic texture, including LBPTOP, VLBP, CLBPTOP and CVLBP, to study the effect of the number of sample points, frame interval and modes  ...  texture feature with volume local binary pattern was studied.  ... 
doi:10.3837/tiis.2017.11.019 fatcat:lucl7di23bbndegnm76sinefai

Dynamic Texture Based Gait Recognition [chapter]

Vili Kellokumpu, Guoying Zhao, Stan Z. Li, Matti Pietikäinen
2009 Lecture Notes in Computer Science  
Dynamic texture descriptors, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), are used to describe human gait in a spatiotemporal way.  ...  We also propose a new coding of multiresolution uniform Local Binary Patterns and use it in the construction of spatiotemporal LBP histograms.  ...  Gait Description with Spatiotemporal Local Binary Patterns Dynamic textures are textures with motion.  ... 
doi:10.1007/978-3-642-01793-3_101 fatcat:lhnzrlydcrblhc3ggr53fbucy4

Facial Expression Detection for video sequences using local feature extraction algorithms

Kennedy Chengeta, Serestina Viriri
2019 Zenodo  
Volume Local Binary Patterns combine texture, motion and appearance.  ...  The results showed better percentage recognition rate by using local facial extraction algorithms like local binary patterns and local directional patterns than holistic algorithms like GLCM and Linear  ...  Volume local directional binary patterns (VLDBP) are used as an extension of LBP in the dynamic texture field. Dynamic texture extends the temporal domain and is used in video image analysis.  ... 
doi:10.5281/zenodo.3235400 fatcat:sjwiqh2jbna7xlpl3vyi5q5cw4

Local Binary Pattern Descriptors for Dynamic Texture Recognition

Guoying Zhao, M. Pietikainen
2006 18th International Conference on Pattern Recognition (ICPR'06)  
The textures are modeled with concatenated local binary patterns in three orthonormal planes. The circular neighborhoods are generalized to elliptical sampling to fit to the space-time statistics.  ...  Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed.  ...  Renaud Péteri for providing the DynTex database used in experiments. This work was supported by the Academy of Finland.  ... 
doi:10.1109/icpr.2006.768 dblp:conf/icpr/ZhaoP06 fatcat:cxc7ivvwwjdvxpifkr6jsgfi6q

Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching [chapter]

Farshid Hajati, Mohammad Tavakolian, Soheila Gheisari, Ajmal Saeed Mian
2015 Lecture Notes in Computer Science  
Using local continuous circular and spiral neighborhoods within video segments, SDP encodes the derivatives of the directional spatiotemporal patterns into a binary code.  ...  We present Spatiotemporal Derivative Pattern (SDP), a descriptor for dynamic textures.  ...  [2] proposed two variants of the LBP features namely Volume Local Binary Pattern (VLBP) and Local Binary Pattern from Three Orthogonal Planes (LBP-TOP).  ... 
doi:10.1007/978-3-319-16814-2_41 fatcat:rnxbzgunjzcn7bxx76yvfs4iw4

Review of local binary pattern operators in image feature extraction

Shihab Hamad Khaleefah, Salama A. Mostafa, Aida Mustapha, Mohammad Faidzul Nasrudin
2020 Indonesian Journal of Electrical Engineering and Computer Science  
recognition, and image retrieval.  ...  The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing.</span>  ...  [27] PCLBP Structure Image texture classification Khaleefah et al.  ... 
doi:10.11591/ijeecs.v19.i1.pp23-31 fatcat:crcazssucrc5vjwg24vmbpm7cm

Two decades of local binary patterns [chapter]

Matti Pietikäinen, Guoying Zhao
2015 Advances in Independent Component Analysis and Learning Machines  
In recent years very discriminative and computationally efficient local texture descriptors based on local binary patterns (LBP) have been developed, which has led to significant progress in applying texture  ...  Texture is an important characteristic for many types of images.  ...  For this purpose, the so called Volume Local Binary Pattern (VLBP) operator was proposed, in which dynamic texture is considered as a set of volumes in the (X,Y,T) space where X and Y denote the spatial  ... 
doi:10.1016/b978-0-12-802806-3.00009-9 fatcat:nijpnowuujeyhmwxekzygtwbtq

Image and video descriptors

Abdenour Hadid
2010 2010 2nd International Conference on Image Processing Theory, Tools and Applications  
Different global (or holistic) methods such as Principal Component Analysis (PCA) have been widely studied and applied but lately local descriptors (such as LBP, SIFT and Gabor) have gained more attention  ...  The tutorial will then focus on one or two state-of-the-art descriptors to demonstrate step by step how to successfully apply them to various computer vision problems such as biometrics, texture analysis  ...  This has yielded to so called Volume Local Binary Pattern operator (VLBP).  ... 
doi:10.1109/ipta.2010.5586814 fatcat:4do4smdo4fglxdwdp6ek2b5aau

Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions

Guoying Zhao, Matti Pietikainen
2007 IEEE Transactions on Pattern Analysis and Machine Intelligence  
First, the textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in ordinary texture analysis, combining motion and appearance.  ...  Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures have attracted growing attention.  ...  Jeffrey Cohn for providing the Cohn-Kanade facial expression database used in experiments. The authors appreciate the helpful comments and suggestions of Prof.  ... 
doi:10.1109/tpami.2007.1110 pmid:17431293 fatcat:22tfpkzoojaondtwsqjpd6kpla

Event detection using local binary pattern based dynamic textures

Yunqian Ma, Petr Cisar
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
In this paper, we present an event detection method using dynamic texture descriptor. The dynamic texture descriptor is an extension of the local binary patterns.  ...  A flow is formed based on the similarity of the dynamic texture descriptors on the regions. We used real dataset for experiments. The results are promising.  ...  Dynamic texture descriptor Previous work In this section, we briefly describe the previous work for the Local Binary Pattern (LBP), its extension to the LBP-TOP descriptor [9] [10] [11] [13] [14]  ... 
doi:10.1109/cvprw.2009.5204204 dblp:conf/cvpr/MaC09 fatcat:zfymfm72andh7iom5wl4zz6hdq

Dynamic textures for human movement recognition

Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description. movements with dynamic texture features.  ...  Human motion can be seen as a type of texture pattern. In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description.  ...  The method is based on using a dynamic texture descriptor, Local Binary Patterns from Three Orthogonal Planes (LBP-TOP), to represent human movements.  ... 
doi:10.1145/1816041.1816110 dblp:conf/civr/KellokumpuZP10 fatcat:otcl6wew5fafrkxid2c2np6z2u

Extracting Multiple Features for Dynamic Hand Gesture Recognition

Suni S S, Gopakumar K
2021 International Journal of Engineering and Advanced Technology  
In this work a framework based on histogram of orientation of optical flow (HOOF) and local binary pattern from three orthogonal planes (LBP_TOP) is proposed for recognizing dynamic hand gestures.  ...  The first one is by fusing the global and local features as one descriptor and the other is using features separately to train the multi class support vector machine.  ...  planes and Volume Local Binary Patterns (VLBP).  ... 
doi:10.35940/ijeat.d2343.0410421 fatcat:jgaf5jvc2vc3zctikqc5fggn5a

Facial expression classification based on local spatiotemporal edge and texture descriptors

Yulia Gizatdinova, Veikko Surakka, Guoying Zhao, Erno Mäkinen, Roope Raisamo
2010 Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research - MB '10  
In particular, a combined dynamic edge and texture information is used for reliable description of both appearance and motion of the expression.  ...  The novelty comes from a new facial representation that is based on local spatiotemporal feature descriptors.  ...  Local binary pattern (LBP) texture descriptors [10] have been widely used to describe static textures and recently extended to temporal domain.  ... 
doi:10.1145/1931344.1931365 dblp:conf/mb/GizatdinovaSZMR10 fatcat:5hpl3hcibjezzn7msj63fyvwjy
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