A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
The consensus operator for combining beliefs
Artificial Intelligence
Top-down, bottom-up multivalued default reasoning for identity maintenance
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Is there a need for fuzzy logic?
Information Sciences: an International Journal
An ontology based approach for activity recognition from video
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Event Composition with Imperfect Information for Bus Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Modeling human activity from voxel person using fuzzy logic
IEEE Transactions on Fuzzy Systems
AVSS '10 Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
Multivalued default logic for identity maintenance in visual surveillance
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Bilattice-Based squares and triangles
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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Default reasoning can provide a means of deriving plausible semantic conclusion under imprecise and contradictory information in forensic visual surveillance. In such reasoning under uncertainty, proper uncertainty handling formalism is required. A discrete species of Bilattice for multivalued default logic demonstrated default reasoning in visual surveillance. In this article, the authors present an approach to default reasoning using subjective logic that acts in a continuous space. As an uncertainty representation and handling formalism, subjective logic bridges Dempster Shafer belief theory and second order Bayesian, thereby making it attractive tool for artificial reasoning. For the verification of the proposed approach, the authors extend the inference scheme on the bilattice for multivalued default logic to L-fuzzy set based logics that can be modeled with continuous species of bilattice structures. The authors present some illustrative case studies in visual surveillance scenarios to contrast the proposed approach with L-fuzzy set based approaches.