Parsing of edNLC-graph grammars for scene analysis
Pattern Recognition
Power properties of NLC graph grammars with a polynomial membership problem
Theoretical Computer Science
An agent architecture to fulfill real-time requirements
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Optimal Stochastic Scaling for CAE Parallel Computations
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Syntactic Pattern Recognition-Based Agents for Real-Time Expert Systems
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Towards an Automatic Sign Language Recognition System Using Subunits
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
SIMBA: An Approach for Real-Time Multi-agent Systems
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Visual Sign Language Recognition
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Automata-Based Multi-agent Model as a Tool for Constructing Real-Time Intelligent Control Systems
CEEMAS '01 Revised Papers from the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems: From Theory to Practice in Multi-Agent Systems
Learning, detection and representation of multi-agent events in videos
Artificial Intelligence
Inference of Parsable Graph Grammars for Syntactic Pattern Recognition
Fundamenta Informaticae
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Parallel computing scheme for graph grammar-based syntactic pattern recognition
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
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A multi-agent system for a recognition of hand postures of the Polish Sign Language is presented in the paper. The system is based on a syntactic pattern recognition approach, namely on parsable ETPL(k) graph grammars. An occurrence of a variety of styles of performing hand postures requires an introduction of many grammar productions that differ each from other slightly. This makes a construction of a grammar within a parsable class ETPL(k) dubious. Dividing a whole grammar into sub-grammars and distributing them to agents allows one to solve the problem.