“F-Limette” fuzzy logic programming integrating metric temporal extensions
Journal of Symbolic Computation - Special issue: executable temporal logics
Building natural language generation systems
Building natural language generation systems
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
International Journal of Computer Vision
Integration of Image Sequence Evaluation and Fuzzy Metric Temporal Logic Programming
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Steps toward a cognitive vision system
AI Magazine
Event Semantics in Two-person Interactions
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Contextual Coordination in a Cognitive Vision System for Symbolic Activity Interpretation
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Situated Observation of Human Activity
CVIIE '05 Proceedings of the Computer Vision for Interactive and Intelligent Environment
Representation of occurrences for road vehicle traffic
Artificial Intelligence
Improving tracking by handling occlusions
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Visual semantics and ontology of eventive verbs
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Action-specific motion prior for efficient Bayesian 3D human body tracking
Pattern Recognition
Determining the best suited semantic events for cognitive surveillance
Expert Systems with Applications: An International Journal
Propagating uncertainty in Petri nets for activity recognition
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis. This contribution describes a cognitive vision system conceived to automatically provide high-level interpretations of complex real-time situations in outdoor and indoor scenarios, and to eventually maintain communication with casual end users in multiple languages. The main contributions are: (i) the design of an integrative multilevel architecture for cognitive surveillance purposes; (ii) the proposal of a coherent taxonomy of knowledge to guide the process of interpretation, which leads to the conception of a situation-based ontology; (iii) the use of situational analysis for content detection and a progressive interpretation of semantically rich scenes, by managing incomplete or uncertain knowledge, and (iv) the use of such an ontological background to enable multilingual capabilities and advanced end-user interfaces. Experimental results are provided to show the feasibility of the proposed approach.