Capture and synthesis of insect motion
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
A Model (In)Validation Approach to Gait Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A system for the capture and synthesis of insect motion
Graphical Models
Parametric model for video content analysis
Pattern Recognition Letters
Unsupervised view and rate invariant clustering of video sequences
Computer Vision and Image Understanding
Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits
International Journal of Computer Vision
Rank pattern-based selection of input/output ARMA model order
Digital Signal Processing
Metrics and topology for nonlinear and hybrid systems
HSCC'07 Proceedings of the 10th international conference on Hybrid systems: computation and control
Detecting contextual anomalies of crowd motion in surveillance video
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Maximum margin distance learning for dynamic texture recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Dynamic texture modeling applied on computer vision based fire recognition
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
A comparison on textured motion classification
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Shift-Invariant dynamic texture recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Brief New identification approaches for disturbed models
Automatica (Journal of IFAC)
Surgical gesture classification from video data
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Dynamic texture segmentation based on deterministic partially self-avoiding walks
Computer Vision and Image Understanding
Road traffic density estimation using microscopic and macroscopic parameters
Image and Vision Computing
| Hi-index | 35.69 |
Autoregressive-moving-average (ARMA) models seek to express a system function of a discretely sampled process as a rational function in the z-domain. Treating an ARMA model as a complex rational function, we discuss a metric defined on the set of complex rational functions. We give a natural measure of the “distance” between two ARMA processes. The paper concentrates on the mathematics behind the problem and shows that the various algebraic structures endow the choice of metric with some interesting and remarkable properties, which we discuss. We suggest that the metric can be used in at least two circumstances: (i) in which we have signals arising from various models that are unknown (so we construct the distance matrix and perform cluster analysis) and (ii) where there are several possible models Mi, all of which are known, and we wish to find which of these is closest to an observed data sequence modeled as M