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    First name: Conrad
    Last name: Sanderson
    DBLP: 64/803
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    Journal article
    Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Towards Miss Universe Automatic Prediction: The Evening Gown Competition.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson.
    Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Conference paper
    ZongYuan Ge, Alex Bewley, Chris McCool, Peter I. Corke, Ben Upcroft, Conrad Sanderson.
    Fine-grained classification via mixture of deep convolutional neural networks.
    2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016 2016 (0) 2016
    Conference paper
    Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions.
    Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers 2016 (0) 2016
    Conference paper
    Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.
    Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers 2016 (0) 2016
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid 0001, Peter I. Corke.
    Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid 0001, Peter I. Corke.
    Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification.
    2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Gold Coast, Australia, November 30 - December 2, 2016 2016 (0) 2016
    Conference paper
    Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Towards Miss Universe automatic prediction: The evening gown competition.
    23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016 2016 (0) 2016
    Journal article
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell.
    Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Subset Feature Learning for Fine-Grained Category Classification.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson.
    Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.
    International Journal of Computer Vision 2015, Volume 114 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Content Specific Feature Learning for Fine-Grained Plant Classification.
    Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum, Toulouse, France, September 8-11, 2015. 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Subset feature learning for fine-grained category classification.
    2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Boston, MA, USA, June 7-12, 2015 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Modelling local deep convolutional neural network features to improve fine-grained image classification.
    2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke.
    Fine-grained bird species recognition via hierarchical subset learning.
    2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015 2015 (0) 2015
    Conference paper
    Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi.
    Bags of Affine Subspaces for Robust Object Tracking.
    2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, November 23-25, 2015 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Alex Bewley, Chris McCool, Ben Upcroft, Peter I. Corke, Conrad Sanderson.
    Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Dirk Eddelbuettel, Conrad Sanderson.
    RcppArmadillo: Accelerating R with high-performance C++ linear algebra.
    Computational Statistics Data Analysis 2014, Volume 71 (0) 2014
    Journal article
    Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson.
    Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Matching Image Sets via Adaptive Multi Convex Hull.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell.
    K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Johanna Carvajal, Chris McCool, Conrad Sanderson.
    Summarisation of Short-Term and Long-Term Videos using Texture and Colour.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson.
    Multi-Shot Person Re-Identification via Relational Stein Divergence.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson.
    Object Tracking via Non-Euclidean Geometry: A Grassmann Approach.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Arnold Wiliem, Conrad Sanderson, Yongkang Wong, Peter Hobson, Rodney F. Minchin, Brian C. Lovell.
    Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Arnold Wiliem, Conrad Sanderson, Yongkang Wong, Peter Hobson, Rodney F. Minchin, Brian C. Lovell.
    Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching.
    Pattern Recognition 2014, Volume 47 (0) 2014
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson.
    Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson.
    Random projections on manifolds of Symmetric Positive Definite matrices for image classification.
    IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24-26, 2014 2014 (0) 2014
    Conference paper
    Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Matching image sets via adaptive multi convex hull.
    IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24-26, 2014 2014 (0) 2014
    Conference paper
    Johanna Carvajal, Chris McCool, Conrad Sanderson.
    Summarisation of short-term and long-term videos using texture and colour.
    IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24-26, 2014 2014 (0) 2014
    Conference paper
    Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson.
    Object tracking via non-Euclidean geometry: A Grassmann approach.
    IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24-26, 2014 2014 (0) 2014
    Journal article
    Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell.
    MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Masoud Faraki, Maziar Palhang, Conrad Sanderson.
    Log-Euclidean Bag of Words for Human Action Recognition.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi.
    Improved Object Tracking via Bags of Affine Subspaces.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell.
    Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients.
    Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014 2014 (0) 2014
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson.
    Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson.
    On robust face recognition via sparse coding: the good, the bad and the ugly.
    IET Biometrics 2014, Volume 3 (0) 2014
    Journal article
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration.
    IEEE Trans. Circuits Syst. Video Techn. 2013, Volume 23 (0) 2013
    Journal article
    Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell.
    Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    Improved Foreground Detection via Block-based Classifier Cascade with Probabilistic Decision Integration
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson.
    On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Sandra Mau, Shaokang Chen, Conrad Sanderson, Brian C. Lovell.
    Video Face Matching using Subset Selection and Clustering of Probabilistic Multi-Region Histograms
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell.
    Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell.
    Spatio-temporal covariance descriptors for action and gesture recognition.
    2013 IEEE Workshop on Applications of Computer Vision, WACV 2013, Clearwater Beach, FL, USA, January 15-17, 2013 2013 (0) 2013
    Conference paper
    Azadeh Alavi, Mehrtash Tafazzoli Harandi, Conrad Sanderson.
    Relational divergence based classification on Riemannian manifolds.
    2013 IEEE Workshop on Applications of Computer Vision, WACV 2013, Clearwater Beach, FL, USA, January 15-17, 2013 2013 (0) 2013
    Conference paper
    Arnold Wiliem, Yongkang Wong, Conrad Sanderson, Peter Hobson, Shaokang Chen, Brian C. Lovell.
    Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors.
    2013 IEEE Workshop on Applications of Computer Vision, WACV 2013, Clearwater Beach, FL, USA, January 15-17, 2013 2013 (0) 2013
    Journal article
    Yongkang Wong, Shaokang Chen, Sandra Mau, Conrad Sanderson, Brian C. Lovell.
    Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell.
    Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Andres Sanin, Conrad Sanderson, Brian C. Lovell.
    Shadow Detection: A Survey and Comparative Evaluation of Recent Methods
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Arnold Wiliem, Yongkang Wong, Conrad Sanderson, Peter Hobson, Shaokang Chen, Brian C. Lovell.
    Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian C. Lovell.
    Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell.
    Kernel analysis on Grassmann manifolds for action recognition.
    Pattern Recognition Letters 2013, Volume 34 (0) 2013
    Conference paper
    Shaokang Chen, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell.
    Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces.
    2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013 2013 (0) 2013
    Journal article
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell.
    Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson.
    Multi-shot person re-identification via relational Stein divergence.
    IEEE International Conference on Image Processing, ICIP 2013, Melbourne, Australia, September 15-18, 2013 2013 (0) 2013
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell.
    Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution.
    IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013 2013 (0) 2013
    Conference paper
    Andres Sanin, Conrad Sanderson, Brian C. Lovell.
    Shadow detection: A survey and comparative evaluation of recent methods.
    Pattern Recognition 2012, Volume 45 (0) 2012
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Arnold Wiliem, Brian C. Lovell.
    Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures.
    IEEE Workshop on Applications of Computer Vision, WACV 2012, Breckenridge, CO, USA, January 9-11, 2012 2012 (0) 2012
    Conference paper
    Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Brian C. Lovell.
    On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches.
    The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012 2012 (0) 2012
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell.
    Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach.
    Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II 2012 (0) 2012
    Conference paper
    Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell.
    Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification.
    Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012, Beijing, China, September 18-21, 2012 2012 (0) 2012
    Conference paper
    Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell.
    Clustering on Grassmann manifolds via kernel embedding with application to action analysis.
    19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012 2012 (0) 2012
    Conference paper
    Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell.
    K-tangent spaces on Riemannian manifolds for improved pedestrian detection.
    19th IEEE International Conference on Image Processing, ICIP 2012, Lake Buena Vista, Orlando, FL, USA, September 30 - October 3, 2012 2012 (0) 2012
    Journal article
    Shaokang Chen, Sandra Mau, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell.
    Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework.
    EURASIP J. Image and Video Processing 2011, Volume 2011 (0) 2011
    Journal article
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts.
    EURASIP J. Image and Video Processing 2011, Volume 2011 (0) 2011
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell.
    Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching.
    The 24th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011, Colorado Springs, CO, USA, 20-25 June 2011 2011 (0) 2011
    Conference paper
    Yan Yang, Farhad Dadgostar, Conrad Sanderson, Brian C. Lovell.
    Summarisation of surveillance videos by key-frame selection.
    2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, Ghent, Belgium, Aug. 22-25, 2011 2011 (0) 2011
    Conference paper
    Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell.
    Ensemble of furthest subspace pairs for enhanced image set matching.
    18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011 2011 (0) 2011
    Conference paper
    Yongkang Wong, Shaokang Chen, Sandra Mau, Conrad Sanderson, Brian C. Lovell.
    Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition.
    IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2011, Colorado Springs, CO, USA, 20-25 June, 2011 2011 (0) 2011
    Conference paper
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture.
    IEEE Conference on Computer Vision and Pattern Recognition, CVPR Workshops 2011, Colorado Springs, CO, USA, 20-25 June, 2011 2011 (0) 2011
    Conference paper
    Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian C. Lovell.
    Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference.
    20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010 2010 (0) 2010
    Conference paper
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling.
    20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010 2010 (0) 2010
    Conference paper
    Andres Sanin, Conrad Sanderson, Brian C. Lovell.
    Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios.
    20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010 2010 (0) 2010
    Conference paper
    Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell.
    MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos.
    Computer Vision - ACCV 2010 - 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part III 2011 (0) 2010
    Conference paper
    Sébastien Marcel, Chris McCool, Pavel Matejka, Timo Ahonen, Jan Cernocký, Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan, Chi-Ho Chan, Josef Kittler, Norman Poh, Benoit G. B. Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes.
    On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation.
    Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests, Istanbul, Turkey, August 23-26, 2010, Contest Reports 2010 (0) 2010
    Conference paper
    Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell.
    Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking.
    Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010, Boston, MA, USA, August 29 - September 1, 2010 2010 (0) 2010
    Conference paper
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell.
    An efficient and robust sequential algorithm for background estimation in video surveillance.
    Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt 2009 (0) 2009
    Conference paper
    Akshay Asthana, Conrad Sanderson, Tamás D. Gedeon, Roland Göcke.
    Learning-based Face Synthesis for Pose-Robust Recognition from Single Image.
    British Machine Vision Conference, BMVC 2009, London, UK, September 7-10, 2009. Proceedings 2009 (0) 2009
    Conference paper
    Vikas Reddy, Conrad Sanderson, Brian C. Lovell, Abbas Bigdeli.
    An efficient background estimation algorithm for embedded smart cameras.
    Third ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2009, Como, Italy, August 30 - September 2, 2009 2009 (0) 2009
    Book chapter
    Conrad Sanderson, Abbas Bigdeli, Ting Shan, Shaokang Chen, Erik Berglund, Brian C. Lovell.
    Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing.
    Progress in Computer Vision and Image Analysis 2009, Volume 73 (0) 2009
    Conference paper
    Yongkang Wong, Conrad Sanderson, Brian C. Lovell.
    Regression Based Non-frontal Face Synthesis for Improved Identity Verification.
    Computer Analysis of Images and Patterns, 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009. Proceedings 2009 (0) 2009
    Conference paper
    Conrad Sanderson, Brian C. Lovell.
    Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference.
    Advances in Biometrics, Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings 2009 (0) 2009
    Journal article
    Conrad Sanderson, Danny Gibbins, Stephen Searle.
    On statistical approaches to target silhouette classification in difficult conditions.
    Digital Signal Processing 2008, Volume 18 (0) 2008
    Conference paper
    Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C. Lovell.
    Representative feature chain for single gallery image face recognition.
    19th International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA 2008 (0) 2008
    Conference paper
    Suyu Kong, Manas Kamal Bhuyan, Conrad Sanderson, Brian C. Lovell.
    Tracking of persons for video surveillance of unattended environments.
    19th International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA 2008 (0) 2008
    Conference paper
    Brian C. Lovell, Shaokang Chen, Abbas Bigdeli, Erik Berglund, Conrad Sanderson.
    On intelligent surveillance systems and face recognition for mass transport security.
    10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Hanoi, Vietnam, 17-20 December 2008, Proceedings 2008 (0) 2008
    Conference paper
    Shaokang Chen, Erik Berglund, Abbas Bigdeli, Conrad Sanderson, Brian C. Lovell.
    Experimental Analysis of Face Recognition on Still and CCTV Images.
    Fifth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008, Santa Fe, New Mexico, USA, 1-3 September 2008 2008 (0) 2008
    Conference paper
    Conrad Sanderson, Ting Shan, Brian C. Lovell.
    Towards Pose-Invariant 2D Face Classification for Surveillance.
    Analysis and Modeling of Faces and Gestures, Third International Workshop, AMFG 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Ting Shan, Shaokang Chen, Conrad Sanderson, Brian C. Lovell.
    Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image.
    Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2007, 5-7 September, 2007, Queen Mary, University of London, London, United Kingdom 2007 (0) 2007
    Conference paper
    Suyu Kong, Conrad Sanderson, Brian C. Lovell.
    Classifying and tracking multiple persons for proactive surveillance of mass transport systems.
    Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2007, 5-7 September, 2007, Queen Mary, University of London, London, United Kingdom 2007 (0) 2007
    Conference paper
    Conrad Sanderson, Simon Günter.
    Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation.
    EMNLP 2007, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 22-23 July 2006, Sydney, Australia 2006 (0) 2006
    Conference paper
    Justin Bedo, Conrad Sanderson, Adam Kowalczyk.
    An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics.
    AI 2006: Advances in Artificial Intelligence, 19th Australian Joint Conference on Artificial Intelligence, Hobart, Australia, December 4-8, 2006, Proceedings 2006 (0) 2006
    Conference paper
    Conrad Sanderson, Simon Günter.
    On Authorship Attribution via Markov Chains and Sequence Kernels.
    18th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China 2006 (0) 2006
    Conference paper
    Conrad Sanderson, Samy Bengio, Yongsheng Gao.
    On transforming statistical models for non-frontal face verification.
    Pattern Recognition 2006, Volume 39 (0) 2006
    Conference paper
    Fabien Cardinaux, Conrad Sanderson, Samy Bengio.
    User authentication via adapted statistical models of face images.
    IEEE Transactions on Signal Processing 2006, Volume 54 (0) 2006
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