Data compression using dynamic Markov modelling
The Computer Journal
Text compression
A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Interpreting a dynamic and uncertain world: high-level vision
Artificial Intelligence Review
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new approach to cyclic ordering of 2D orientations using ternary relation algebras
Artificial Intelligence
Learning variable-length Markov models of behavior
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Multi-Dimensional Modal Logic as a Framework for Spatio-Temporal Reasoning
Applied Intelligence
A Global Framework for Qualitative Shape Description
Geoinformatica
Qualitative Spatio-Temporal Continuity
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Describing Rigid Body Motions in a Qualitative Theory of Spatial Regions
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Qualitative spatiotemporal representation and reasoning: a computational perspective
Exploring artificial intelligence in the new millennium
Design of a linguistic postprocessor using variable memory length Markov models
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Real-time American Sign Language recognition from video using hidden Markov models
ISCV '95 Proceedings of the International Symposium on Computer Vision
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Journal of Cognitive Neuroscience
A logical account of causal and topological maps
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
From images to bodies: modelling and exploiting spatial occlusion and motion parallax
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A hierarchy of boundary-based shape descriptors
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Noise, non-determinism and spatial uncertainty
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
On scene interpretation with description logics
Image and Vision Computing
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An AGM-style belief revision mechanism for probabilistic spatio-temporal logics
Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Ontology-based realtime activity monitoring using beam search
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Multivalued default logic for identity maintenance in visual surveillance
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
A qualitative spatio-temporal abstraction of a disaster space
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
An approach for grounding ontologies in raw data using foundational ontology
Information Systems
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In recent years there has been increasing interest in constructing cognitive vision systems capable of interpreting the high level semantics of dynamic scenes. Purely quantitative approaches to the task of constructing such systems have met with some success. However, qualitative analysis of dynamic scenes has the advantage of allowing easier generalisation of classes of different behaviours and guarding against the propagation of errors caused by uncertainty and noise in the quantitative data. Our aim is to integrate quantitative and qualitative modes of representation and reasoning for the analysis of dynamic scenes. In particular, in this paper we outline an approach for constructing cognitive vision systems using qualitative spatial-temporal representations including prototypical spatial relations and spatio-temporal event descriptors automatically inferred from input data. The overall architecture relies on abduction: the system searches for explanations, phrased in terms of the learned spatio-temporal event descriptors, to account for the video data.