Dynamic texture recognition using normal flow and texture regularity

Authors:
Renaud Péteri;Dmitry Chetverikov
Affiliations:
Centre for Mathematics and Computer Science (CWI), Amsterdam, The Netherlands;MTA SZTAKI, Hungarian Academy of Sciences, Budapest, Hungary
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

Citing 6
Cited 16

Qualitative recognition of motion using temporal texture

CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Texture Descriptors in MPEG-7

CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
An Overview of MPEG-7 Motion Descriptors and Their Applications

CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Motion Characterization from Temporal Co-Occurrences of Local Motion-Based Measures for Video Indexing

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Feature Extraction of Temporal Texture Based on Spatiotemporal Motion Trajectory

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Synergizing spatial and temporal texture

IEEE Transactions on Image Processing

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

IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis and performance evaluation of optical flow features for dynamic texture recognition

Image Communication
Dynamic Texture Detection Based on Motion Analysis

International Journal of Computer Vision
Periodicity estimation of Dynamic Textures

International Journal of Information and Communication Technology
A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition

IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Detecting regions of dynamic texture

SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture

Signal Processing
A 3D discrete curvelet based method for segmenting dynamic textures

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
DynTex: A comprehensive database of dynamic textures

Pattern Recognition Letters
Maximum margin distance learning for dynamic texture recognition

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Fast dynamic texture detection

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Dynamic texture recognition using volume local binary patterns

WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Proposals for evaluating the regularity of a scientist's research output

Scientometrics
Volume local phase quantization for blur-insensitive dynamic texture classification

SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
A comparison on textured motion classification

MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Texture databases - A comprehensive survey

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

The processing, description and recognition of dynamic (time-varying) textures are new exciting areas of texture analysis. Many real-world textures are dynamic textures whose retrieval from a video database should be based on both dynamic and static features. In this article, a method for extracting features revealing fundamental properties of dynamic textures is presented. These features are based on the normal flow and on the texture regularity though the sequence. Their discriminative ability is then successfully demonstrated on a full classification process.