Nix, A.[Andrew]
* Analysis of IEEE 802.11N-Like Transmission Techniques with and Without Prior CSI for Video Applications
* Efficient adaptive complex filtering algorithm with application to channel equalisation
* Enhanced MIMO wireless video communication using multiple-description coding
Includes: Nix, A.[Andrew] Nix, A.
Nixon, M.S.[Mark S.]
* Home Page.
* email: Nixon, M.S.[Mark S.]: msn AT ecs.soton.ac.uk
* Advances in automatic gait recognition
* Analysis of a human extraction system for deploying gait biometrics
* Analyzing Front View Face Profiles for Face Recognition Via the Walsh Transform
* Application of the Hough Transform to Correct for Linear Variation of Background Illumination in Images
* Automated person recognition by walking and running via model-based approaches
* Automated Segmentation of Lumbar Vertebrae in Digital Videofluoroscopic Images
* Automated System for Contact Lens Inspection, An
* Automatic extraction and description of human gait models for recognition purposes
* Automatic Gait Recognition by Symmetry Analysis
* Automatic gait recognition using area-based metrics
* Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
* Automatic Recognition by Gait
* Bias Error Analysis of the Generalised Hough Transform
* Biased motion-adaptive temporal filtering for speckle reduction in echocardiography
* British Machine Vision Conference 1998
* Circle extraction via least squares and the Kalman filter
* Classifiers Combination for Improved Motion Segmentation
* Comparing Different Template Features for Recognizing People by their Gait
* Dynamic Feature-Extraction via the Velocity Hough Transform
* Ear Biometrics by Force Field Convergence
* Estimating the phase congruency of localised frequencies
* Extended Model-Based Automatic Gait Recognition of Walking and Running
* Extending Concentricity Analysis by Deformable Templates for Improved Eye Extraction
* Extending The Feature Vector For Automatic Face Recognition
* Extracting Arbitrary Geometric Primitives Represented by Fourier Descriptors
* Extracting human gait signatures by body segment properties
* Extracting moving shapes by evidence gathering
* Extraction and description of 3D (articulated) moving objects
* Extraction and recognition of periodically deforming objects by continuous, spatio-temporal shape description
* Extraction of Moving Articulated-objects by Evidence Gathering
* Feature Extraction and Image Processing
* Feature Extraction and Selection for Recognizing Humans by Their Gait
* Finding Moving Shapes by Continuous-Model Evidence Gathering
* Force Field Energy Functionals for Image Feature Extraction
* Force field feature extraction for ear biometrics
* Fusing Complementary Operators to Enhance Foreground/Background Segmentation
* Gait Extraction and Description by Evidence-Gathering
* Gait Feature Subset Selection by Mutual Information
* Gait Verification Using Probabilistic Methods
* Global and Local Active Contours for Head Boundary Extraction
* Hough Transform for Detecting the Location and Orientation of 3-Dimensional Surfaces Via Color Encoded Spots, A
* Human gait recognition in canonical space using temporal templates
* Human Identification Based on Gait
* Human identification by spatio-temporal symmetry
* Human Perambulation as a Self Calibrating Biometric
* Image and Volume Segmentation by Water Flow
* Improving an extended version of the Hough transform
* Improving parameter space decomposition for the generalised Hough transform
* Improving snake performance via a dual active contour
* Improving the Hough Transform gathering process for affine transformations
* Introducing Focus in the Generalized Symmetry Operator
* Invariant characterisation of the Hough transform for pose estimation of arbitrary shapes
* Is Enough Enough? What Is Sufficiency in Biometric Data?
* Low Level Moving-Feature Extraction Via Heat Flow Analogy
* Model Based Dual Active Contour, A
* Model-Based Approaches for Predicting Gait Changes over Time
* Model-Based Feature Extraction for Gait Analysis and Recognition
* Model-driven statistical analysis of human gait motion
* Modelling the Time-Variant Covariates for Gait Recognition
* New Area Based Metrics for Automatic Gait Recognition
* New Area Based Metrics for Gait Recognition
* New Force Field Transform for Ear and Face Recognition, A
* Novel Temporal Views of Moving Objects for Gait Biometrics
* On automated model-based extraction and analysis of gait
* On Model-Based Analysis of Ear Biometrics
* On Moving Object Reconstruction by Moments
* On Resolving Ambiguities in Arbitrary-Shape extraction by the HT
* On Shape-Mediated Enrolment in Ear Biometrics
* On the relationship of human walking and running: Automatic person identification by gait
* On Using Directional Information for Parameter Space Decomposition in Ellipse Detection
* Parameterised Moving Shape Extraction
* Parameterizing Arbitrary Shapes via Fourier Descriptors for Evidence-Gathering Extraction
* Performance analysis on new biometric gait motion model
* Recognising Human and Animal Movement by Symmetry
* Robust Snake Implementation: A Dual Active Contour
* Shape Extraction Via Heat Flow Analogy
* Snake Head Boundary Extraction Using Global and Local Energy Minimisation
* statistical approach for recognizing humans by gait using spatial-temporal templates, A
* Statistical Geometrical Features For Texture Classification
* Super-resolution land cover pattern prediction using a Hopfield neural network
* Super-resolution target identification from remotely sensed images using a Hopfield neural network
* Temporal phase congruency
* Temporal speckle reduction for feature extraction in ultrasound images
* Texture classification using statistical geometrical features
* Texture classification via conditional histograms
* Texture Extraction and Segmentation via Statistical Geometric Features
* Velocity Hough Transform: A New Technique for Dynamic Feature Extraction, The
* Water Flow Based Complex Feature Extraction
* What image information is important in silhouette-based gait recognition?
* Zernike Velocity Moments for Description and Recognition of Moving Shapes
* Zernike velocity moments for sequence-based description of moving features
Includes: Nixon, M.S.[Mark S.] Nixon, M.S.
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