J. McKinney, M. Wallis, S. Popat, J. Bryden, and D. Hogg, Embodied conversations: Performance and the design of a robotic dancing partner, Design Research Society (DRS 2008), Sheffield, 2008.
R. Fraile, D. Hogg, and A. Cohn, Motion Segmentation by Consensus, International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, 2008.
H. Dee, R. Fraile, D. Hogg, and A. Cohn, Modelling scenes using the activity within them, Spatial Cognition 2008, Freiburg, 2008.
J. Bryden, D. Hogg, S. Popat, and M. Wallis, Building artificial personalities: expressive communication channels based on an interlingua for a human-robot dance, International Conference on Artificial Life (ALIFE XI), Winchester, 2008.
B. Bennett, D. R. Magee, A. G. Cohn, and D. C. Hogg, Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity, Image and Vision Computing, 26(1), 67-81, 2008.
M. Al-Rajab, D. Hogg, and K. Ng, A Comparative Study on using Zernike Velocity Moments and Hidden Markov Models for Hand Gesture Recognition, Conference on Articulated Motion and Deformable Objects (AMDO 2008), Mallorca, Spain, 2008.
M. Wallis, S. Popat, A. Bayliss, J. McKinney, J. Bryden, D. Hogg, M. Godden, and R. Walker, SpiderCrab and the Emergent Object: Designing for the Twenty-first Century, dux07, Chicago, 2007.
D. Damen and D. Hogg, Associating people dropping off and picking up objects, 18th British Machine Vision Conference (BMVC2007), 2007.
A. G. Cohn, D. C. Hogg, B. Bennett, V. Devin, A. Galata, D. R. Magee, C. Needham, and P. Santos, Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision, in Cognitive Vision Systems: Sampling the Spectrum of Approaches, Lecture Notes in Computer Science, H. I. Christensen and H.-H. Nagel, Eds., 3948 ed. Berlin Heidelberg: Springer, 2006, pp. 221-246.
H. Dee and D. Hogg, Navigational Strategies and Surveillance, Sixth IEEE international workshop on visual surveillance (VS2006), Graz, Austria, 2006.
D. C. Hogg, A. G. Cohn, V. Devin, D. Magee, C. Needham, and P. Santos, Learning about objects and activities, 24th Leeds Annual Statistical Research (LASR) Workshop, Leeds, 2005.
H. M. Dee and D. C. Hogg, On the feasibility of using a cognitive model to filter surveillance data, IEEE International Conference on Advanced Video and Signal-Based Surveillance, Como, Italy, 2005.
C. J. Needham, P. E. Santos, D. R. Magee, V. Devin, D. C. Hogg, and A. G. Cohn, Protocols from Perceptual Observations, Artificial Intelligence, 167(1-2), 103-136, 2005.
H. Dee and D. Hogg, Detecting inexplicable behaviour, British Machine Vision Conference 2004 (BMVC-04), Kingston, 2004.
D. Magee, C. J. Needham, P. Santos, A. G. Cohn, and D. C. Hogg, Autonomous learning for a cognitive agent using continuous models and inductive logic programming from audio-visual input, AAAI Workshop on Anchoring Symbols to Sensor Data, 2004.
P. Santos, D. Magee, A. Cohn, and D. Hogg, Combining Multiple Answers for Learning Mathematical Structures from Visual Observations, European Conference on Artificial Intelligence (ECAI'04), 2004.
B. Bennett, D. R. Magee, A. G. Cohn, and D. C. Hogg, Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects, 16th European Conference on Artificial Intelligence (ECAI-04), 2004.
H. Dee and D. C. Hogg, Is it Interesting? Comparing human and machine judgements on the PETS dataset, IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS-ECCV04), Prague, 2004.
V. E. Devin and D. C. Hogg, Reactive memories: an interactive talking-head, Image and Vision Computing, 21(13-14), 1125-1133, 2003.
A. G. Cohn, D. R. Magee, A. Galata, D. C. Hogg, and S. M. Hazarika, Towards an Architecture for Cognitive Vision Using Qualitative Spatial-Temporal Representations and Abduction, in Spatial Cognition III, vol. 2685, Lectue notes in Computer Science, C. Freska, C. Habel, and K. F. Wender, Eds.: Springer Verlag, 2003.
K. C. Ng, V. Sequeira, E. Bovisio, N. Johnson, D. Cooper, J. G. M. Goncalves, and D. C. Hogg, Playing on a Holo-stage: Towards the Interaction between Real and Virtual Performers Object Interaction, in Digital Creativity: A Reader, C. Beardon and L. Malmborg, Eds.: Swets & Zeitlinger, 2002, pp. 241-249.
A. Galata, A. Cohn, D. Magee, and D. Hogg, Learning temporal and qualitative spatial components of an interaction model, ECCV Workshop on Vision and Modelling of Dynamic Scenes (VAMODS), 2002.
N. Johnson and D. C. Hogg, Representation and synthesis of behaviour using Gaussian mixtures, Image and Vision Computing, 20(12), 889-894, 2002.
A. Galata, A. Cohn, D. Magee, and D. Hogg, Modelling Interaction Using Learnt Qualitative Spatio-Temporal Relations and Variable Length Markov Models, European Conference on Artificial Intelligence (ECAI'02), Lyon, 2002.
V. Devin and D. Hogg, Reactive Memories: An Interactive Talking-Head, British Machine Vision Conference, Manchester, 2001.
V. Devin and D. Hogg, Applications for a Generative Model of Joint Behaviour, IEEE CUES 2001 Workshop, Hawaii, 2001.
A. Galata, N. Johnson, and D. C. Hogg, Learning Variable Length Markov Models of Behaviours, Computer Vision and Image Understanding (CVIU), 81(3), 398-413, 2001.
K. C. Ng, V. Sequeira, E. Bovisio, N. Johnson, D. Cooper, J. G. M. Goncalves, and D. C. Hogg, Playing on a Holo-stage: Towards the Interaction between Real and Virtual Performers, Digital Creativity, 11(2), 109-117, 2000.
J. Fernyhough, A. G. Cohn, and D. C. Hogg, Constructing Qualitative Event Models Automatically from Video Input, Image and Vision Computing, 18, 81-103, 2000.
R. J. Morris and D. C. Hogg, Statistical Models of Object Interaction, International Journal of Computer Vision, 37(2), 209-215, 2000.
A. Galata, N. Johnson, and D. Hogg, Learning Structured Behaviour Models Using Variable Length Markov Models, IEEE International Workshop on Modelling People, Corfu, 1999.
A. Galata, N. Johnson, and D. C. Hogg, Learning Behaviour Models of Human Activities, British Machine Vision Conference, Nottingham, 1999.
D. C. Hogg, N. Johnson, R. Morris, D. Buesching, and A. Galata, Visual Models of Interaction, Spatial Temporal Modelling and its Applications, Leeds, 1999.
V. Sequeira, K. C. Ng, E. Wolfart, J. G. M. Goncalves, and D. C. Hogg, Automated 3D reconstruction of interiors with multiple scan-views, Electronic Imaging'99, IS&T/SPIE 11th Annual Symposium, San Jose, California, 1999.
E. Wolfart, V. Sequeira, K. C. Ng, S. Butterfield, J. G. M. Goncalves, and D. C. Hogg, Hybrid Approach for the Construction of Triangulated 3D Models of Building Interiors, First International Conference on Computer Vision Systems (ICVS'99), Las Palmas, 1999.
V. Sequeira, K. C. Ng, E. Wolfart, J. G. M. Goncalves, and D. C. Hogg, Automated Reconstruction of 3D Models from Real Environment, ISPRS Journal of Photogrammetry and Remote Sensing, 54(1), 1-22, 1999.
D. C. Hogg, N. Johnson, R. Morris, D. Buesching, and A. Galata, Visual Models of Interaction, 2nd International Workshop on Cooperative Distributed Vision, Kyoto, Japan, 1998.
K. C. Ng, V. Sequeira, S. Butterfield, D. C. Hogg, and J. G. M. Goncalves, An Intergated Multi-Sensory System for Photo-Realistic 3D Scene Reconstruction, International Symposium on Real-Time Imaging and Dynamic Analysis, International Society for Photogrammetry and Remote Sensing, Hakodate, Japan, 1998.
D. Leevers, P. Gill, F. M. Lopes, J. Pereira, J. Castro, J. Gomes-Meta, M. I. Ribeiroo, J. G. M. Goncalves, V. Sequeira, E. Wolfart, V. Dupourque, V. Santos, S. Butterfield, D. C. Hogg, and K. Ng, An Autonomous Sensor for 3D Reconstruction, 3rd European Conference on Multimedia Applications, Services and Techniques, Berlin, Germany, 1998.
V. Sequeira, K. C. Ng, S. Butterfield, J. G. M. Goncalves, and D. C. Hogg, Three-Dimensional Textured Models of Indoor Scenes from Composite Range and Video Images, SPIE: Three-Dimensional Image Capture and Applications, San Jose, California, 1998.
N. Johnson, A. Galata, and D. C. Hogg, The Acquisition and Use of Interaction Behaviour Models, IEEE Computer Vision and Pattern Recognition (CVPR'98), Santa Barbara, 1998.
R. J. Morris and D. C. Hogg, Statistical Models of Object Interaction, IEEE Workshop on Visual Surveillance, Bombay, 1998.
J. Fernyhough, A. G. Cohn, and D. C. Hogg, Building Qualitative Event Models Automatically from Visual Input, IEEE International Conference on Computer Vision, Bombay, 1998.
A. J. Heap and D. C. Hogg, Wormholes in Shape Space: Tracking through Discontinuous Changes in Shape, International Conference on Computer Vision 1998, Bombay, 1998.
S. Butterfield, K. C. Ng, and D. C. Hogg, The RESOLV Texture-Mapping Module, School of Computer Studies, University of Leeds, Leeds, UK Technical Report 97.48, 1997.
P. Remagnino, A. Baumberg, T. Grove, D. C. Hogg, T. Tan, A. Worrall, and K. D. Baker, An Integrated Traffic and Pedestrian Model-Based Vision System, British Machine Vision Conference 1997, Colchester, Essex, 1997.
A. J. Heap and D. C. Hogg, Improving Specificity in PDMs using a Hierarchical Approach, British Machine Vision Conference 1997, Colchester, Essex, 1997.
L. Q. Xu and D. C. Hogg, Neural Networks in Human Motion Tracking - An Experimental Study, Image and Vision Computing, 15, 607-615, 1997.
L. Q. Xu and D. C. Hogg, Using Neural Networks to Learn Spatial-Temporal Model for Moving Deformable Object Tracking, International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996.
A. J. Heap and D. C. Hogg, Towards 3D Hand Tracking Using a Deformable Model, Second International Conference on Automatic Face and Gesture Recognition (FG96), 1996.
L. Xu and D. C. Hogg, Neural Networks in Human Motion Tracking - An Experiemental Study, British Machine Vision Conference 1996, 1996.
S. Fletcher, A. Bulpitt, and D. C. Hogg, Global Alignment of MR Images Using a Scale Based Hierarchical Model, 4th European Conference on Computer Vision, Cambridge, 1996.
J. H. Fernyhough, A. G. Cohn, and D. C. Hogg, Generation of Semantic Regions from Image Sequences, 4th European Conference on Computer Vision, Cambridge, 1996.
A. Baumberg and D. C. Hogg, Learning Deformable Models for Tracking the Human Body, in Motion-Based Recogntion, M. Shah and R. Jain, Eds.: Kluwer Academic, 1996, pp. 39-60.
D. C. Hogg, Machine Vision, in Artificial Intelligence: Handbook of Perception and Cognition, vol. 14, M. Boden, Ed.: Academic Press, 1996, pp. 183-227.
A. Heap and D. C. Hogg, Extending the Point Distribution Model using polar coordinates, Image and Vision Computing, 14(8), 589-599, 1996.
N. Johnson and D. C. Hogg, Learning the Distribution of Object Trajectories for Event Recognition, Image and Vision Computing, 14(8), 609-615, 1996.
A. Baumberg and D. C. Hogg, Generating Spatio-Temporal Models from Examples, Image and Vision Computing, 14(8), 525-532, 1996.
R. D. Boyle and D. C. Hogg, Neural Networks in Computer Vision (Conference Tutorial at BMVC'95), Birmingham 1995.
D. C. Hogg, Virtual Reality - an Artificial Intelligence Perspective (Tutorial Paper at EPIA'95), Madeira 1995.
A. Heap and D. C. Hogg, Automated Pivot Location for the Cartesian-Polar Hybrid Point Distribution Model, British Machine Vision Conference (BMVC'95), Birmingham, 1995.
N. Johnson and D. C. Hogg, Learning the Distribution of Object Trajectories for Event Recognition, British Machine Vision Conference 1995, Glasgow, 1995.
A. Baumberg and D. C. Hogg, Generating Spatio-Temporal Models from Examples, British Machine Vision Conference 1995, Glasgow, 1995.
A. Baumberg and D. Hogg, An Adaptive Eigenshape Model, British Machine Vision Conference 1995, Glasgow, 1995.
G. Metta and D. C. Hogg, Control of a Steerable Camera with Variable Zoom, Workshop on Semi-Autonomous Monitoring and Robotics Technologies (SMART), Lisbon, 1995.
X. Shen and D. C. Hogg, Generic 3D Shape Model: Acquisition and Applications, Computer Analysis of Images and Patterns 1995, 1995.
A. Heap and D. C. Hogg, Extending the Point Distribution Model using Polar Coordinates, Computer Analysis of Images and Patterns (CAIP'95), Prague, 1995.
A. Baumberg and D. C. Hogg, Generating Spatio-temporal Models from Examples, Conference on Current Issues in Statistical Shape Analysis, Leeds, 1995.
X. Shen and D. C. Hogg, 3-D Shape Recovery Using a Deformable Model, Image and Vision Computing, 13(5), 377-383, 1995.
A. Baumberg and D. C. Hogg, An Efficient Method for Contour Tracking using Active Shape Models, IEEE Workshop on Motion of Non-Rigid and Articulated Objects, Austin, Texas, 1994.
X. Shen and D. C. Hogg, 3-D Shape Recovery Using a Deformable Model, British Machine Vision Conference 1994, York, 1994.
A. Baumberg and D. C. Hogg, Learning Flexible Models from Image Sequences, 3rd European Conference on Computer Vision, Stockholm, 1994.
X. Shen and D. C. Hogg, Shape Models from Image Sequences, 3rd European Conference on Computer Vision, Stockholm, 1994.
N. Byrne, A. Baumberg, and D. C. Hogg, Tracking Non-Rigid Objects, SMART Workshop, Ispra, 1994.
D. C. Hogg, Prospects for Computer Vision, AISB'93: Prospects for Artificial Intelligence, Birmingham, 1993.
A. Sloman, D. C. Hogg, G. Humphries, A. Ramsay, and D. Partridge, Prospects for Artificial Intelligence: IS Press, 1993.
D. C. Hogg, Shape in Machine Vision, Image and Vision Computing, 11(6), 309-316, 1993.
D. C. Hogg and A. Baumberg, Fusing Two Views using Object Motion, Data Fusion Applications, 1992.
L. Xu, D. Young, and D. C. Hogg, Building a Model of a Road Junction Using Moving Vehicle Information, British Machine Vision Conference, Leeds, 1992.
D. C. Hogg and R. D. Boyle, British Machine Vision Conference 1992: Springer-Verlag, 1992.
D. C. Hogg, Object Localisation by Hierarchical Search in Configuration Space, ESPRIT Workshop on Advanced Matching in Computer Vision and Artificial Intelligence, 1990.
D. C. Hogg, A Survey of Recent Work in Model-Based Vision, Conference on Applications of Artificial Intelligence, Prague, 1990.
S.-Y. K. Yuen, V. Hlavac, and D. Hogg, Connectivity, The Hough Transform and the Dynamic Combinatorial Hough Transform, University of Sussex, School of Cognitive and Computing Sciences 149, 1989.
M. Sharples, D. C. Hogg, C. Hutchinson, S. Torrance, and D. Young, Computers and Thought: a Practical Introduction to AI: MIT Press, 1989.
D. G. Corr, A. M. Tailor, A. Cross, D. C. Hogg, D. H. Lawrence, D. C. Mason, and M. Petrou, Progress in Automatic Analysis of Multi-Temporal Remotely-Sensed Data, International Journal of Remote Sensing, 10(7), 1175-1195, 1989.
M. Petrou, D. Corr, A. Cross, D. Hogg, D. Lawrence, D. Mason, A. M. Tailor, and R. Vango, An expert system for environmental control and the agricultural industry using satellite images, EURINFO88, Athens, Greece, 1988.
D. G. Corr, A. M. Tailor, A. Cross, D. C. Mason, M. Petrou, D. C. Hogg, and D. H. Lawrence, Progress in Automatic Analysis of Multi-Temporal Remotely-Sensed Data, IGARSS'88, 1988.
D. C. Hogg, Finding a Known Object Using and Generate and Test Strategy, in Parallel Architectures and Computer Vision, I. Page, Ed.: Oxford University Press, 1988, pp. 119-132.
D. C. Mason, D. G. Corr, A. Cross, D. C. Hogg, D. H. Lawrence, M. Petrou, and A. M. Tailor, The Use of Digital map Data in the Segmentation and Classification of Remotely-sensed Images, International Journal of Geographical Information Systems, 2(3), 195-215, 1988.
K. Oatley, G. D. Sullivan, and D. C. Hogg, Drawing Visual Conclusions from Analogy: Preprocessing, Cues and Schemata in the Perception of Three-Dimensional Objects, Journal of Intelligent Systems, 1(2), 97-133, 1988.
A. M. Tailor, D. G. Corr, A. Cross, D. C. Hogg, D. H. Lawrence, M. Petrou, and R. D. Vango, Development of a Knowledge-Based Segmentor for Remotely-Sensed Images, Phil. Trans. Royal Society London A, 324, 437-446, 1988.
A. M. Tailor, D. G. Corr, P. Cosoli, A. Cross, D. C. Hogg, D. H. Lawrence, D. C. Mason, M. Petrou, and R. D. Vango, A System for Knowledge-Based Segmentation of Remotely-Sensed Images, IGARSS'87, Ann Arbor, MI, 1987.
A. M. Tailor, D. G. Corr, A. Cross, D. C. Hogg, D. H. Lawrence, D. C. Mason, and M. Petrou, Knowledge Based Segmentation of Remotely-Sensed Images, 3rd Alvey Vision Confernce, Cambridge, 1987.
D. C. Mason, D. G. Corr, A. Cross, D. C. Hogg, D. H. Lawrence, M. Petrou, and A. M. Tailor, Progress Towards a Knowledge Based Segmentor for Remotely-Sensed Images, 13th Remote Sensing Society Conference, Nottingham, 1987.
B. du Boulay, D. C. Hogg, and L. Steels, Advances in Artificial Intelligence-II, Proceedings of the Seventh European Conference in Artificial Intelligence: North-Holland, 1987.
D. C. Mason, D. G. Corr, A. Cross, D. C. Hogg, and A. M. Tailor, Knowledge based segmentation of remotely-sensed images, ISPRS/RSS International Symposium on Mapping from Modern Imagery, Edinburgh, 1986.
D. C. Hogg, Computer Vision, in Artificial Intelligence: Principles and applications, M. Yazdani, Ed. London: Chapman and Hall, 1986.
A. Tailor, A. Cross, D. C. Hogg, and D. C. Mason, Knowledge-based interpretation of remotely sensed images, Image and Vision Computing, 4(2), 67-83, 1986.
D. C. Hogg, Interpreting Images of a Known Moving Object (DPhil thesis), School of Cognitive and Computing Sciences, University of Sussex, Brighton, UK COGS Technical Report 145 (1989), 1984.
K. D. Baker, D. C. Hogg, and R. O. Lloyd, Interpreting Medical Images by Computer, Centre for Medical Imaging Research, University of Sussex, Brighton, UK 1984.
D. C. Hogg, G. D. Sullivan, K. D. Baker, and D. H. Mott, Recognition of vehicles in traffic using geometric models, IEE International Conference on Road Traffic Data Collection, London, 1984.
D. C. Hogg, Model-Based vision: A Program to See a Walking Person, Image and Vision Computing, 1(1), 5-20, 1983.
D. C. Hogg, A Methodology for Real Time Scene Analysis, 5th International Conference on Artificial Intelligence, Boston, 1977.
D. C. Hogg, Visual Perception in a Changing Environment: A Paradigm for Real-Time Scene Analysis, Department of Computer Science, University of Western Ontario, London Technical Report 29 (MSc thesis), 1976.
P. Burnhill, R. Cooley, and D. C. Hogg, Information Resource Management for the Social Sciences in the UK (Consultancy report for ESRC Research Resource Advisory Group).