ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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
A Closed Form Solution to Direct Motion Segmentation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Local Binary Pattern Descriptors for Dynamic Texture Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Registration Using Dynamic Textures
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Dynamic Texture Detection Based on Motion Analysis
International Journal of Computer Vision
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture analysis and classification using deterministic tourist walk
Pattern Recognition
Modeling music as a dynamic texture
IEEE Transactions on Audio, Speech, and Language Processing
DynTex: A comprehensive database of dynamic textures
Pattern Recognition Letters
Texture analysis based on maximum contrast walker
Pattern Recognition Letters
Detecting unusual activity in video
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Segmenting dynamic textures with ising descriptors, ARX models and level sets
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Texture descriptor based on partially self-avoiding deterministic walker on networks
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Dynamic texture is a recent field of investigation that has received growing attention from computer vision community in the last years. These patterns are moving texture in which the concept of self-similarity for static textures is extended to the spatiotemporal domain. In this paper, we propose a novel approach for dynamic texture representation, that can be used for both texture analysis and segmentation. In this method, deterministic partially self-avoiding walks are performed in three orthogonal planes of the video in order to combine appearance and motion features. We validate our method on three applications of dynamic texture that present interesting challenges: recognition, clustering and segmentation. Experimental results on these applications indicate that the proposed method improves the dynamic texture representation compared to the state of the art.