Saturation, nonmonotonic reasoning and the closed-world assumption
Artificial Intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sweetening Ontologies with DOLCE
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Model-Based Human Body Tracking
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Towards ontology-based cognitive vision
Machine Vision and Applications
Automatic Acquisition of Context Models and its Application to Video Surveillance
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
ACM Computing Surveys (CSUR)
The Description Logic Handbook
The Description Logic Handbook
Toward a Common Event Model for Multimedia Applications
IEEE MultiMedia
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
On scene interpretation with description logics
Image and Vision Computing
Cognitive vision: The case for embodied perception
Image and Vision Computing
Ontology-based situation awareness
Information Fusion
Designing ontologies for higher level fusion
Information Fusion
High-Level Data Fusion
Improving an RCC-Derived Geospatial Approximation by OWL Axioms
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
A Context Model and Reasoning System to improve object trackingin complex scenarios
Expert Systems with Applications: An International Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reducing OWL entailment to description logic satisfiability
Web Semantics: Science, Services and Agents on the World Wide Web
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology for semantic integration in a cognitive surveillance system
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
COMM: designing a well-founded multimedia ontology for the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Context-awareness at the service of sensor fusion systems: inverting the usual scheme
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Human activity monitoring by local and global finite state machines
Expert Systems with Applications: An International Journal
Context-based scene recognition from visual data in smart homes: an Information Fusion approach
Personal and Ubiquitous Computing
Personal ontologies: Generation of user profiles based on the YAGO ontology
Information Processing and Management: an International Journal
A survey on ontologies for human behavior recognition
ACM Computing Surveys (CSUR)
Hi-index | 12.05 |
Computer vision research has been traditionally focused on the development of quantitative techniques to calculate the properties and relations of the entities appearing in a video sequence. Most object tracking methods are based on statistical methods, which often result inadequate to process complex scenarios. Recently, new techniques based on the exploitation of contextual information have been proposed to overcome the problems that these classical approaches do not solve. The present paper is a contribution in this direction: we propose a Computer Vision framework aimed at the construction of a symbolic model of the scene by integrating tracking data and contextual information. The scene model, represented with formal ontologies, supports the execution of reasoning procedures in order to: (i) obtain a high-level interpretation of the scenario; (ii) provide feedback to the low-level tracking procedure to improve its accuracy and performance. The paper describes the layered architecture of the framework and the structure of the knowledge model, which have been designed in compliance with the JDL model for Information Fusion. We also explain how deductive and abductive reasoning is performed within the model to accomplish scene interpretation and tracking improvement. To show the advantages of our approach, we develop an example of the use of the framework in a video-surveillance application.