Distributed systems are multi-processor information processing systems which do not rely on the central shared memory for communication. The importance of distributed systems has been growing with the advent of "computer

Abstract not found

Traditional methods for image scene interpretation and understanding are based mainly on such single threaded procedural paradigms as hypothesize-and-test or syntactic parsing. As a result, these systems are unable to carry out tasks that require concurrent hypotheses. In this paper we describe a method for symbolically interpreting images based upon a parallel implementation of a network-of-frames suggested, for example, by Minsky (1975) to describe intelligent infunction processing. The system has been implemented in an object-oriented environment in the logic programming language PARLOG++ and includes the propagation of uncertainty through each frame (object) using Baldwin's (1986) formulation. The system is illustrated with the legal interpretation of traffic intersection images. Keywords: high-level vision, object-orientation, logic programming, Dempster -Shafer, uncertainty calculi, traffic scenes, correspondence. This project was funded by grants from the DSTO and the Australian...

Traditional methods for image scene interpretation and understanding are based mainly on such single threaded procedural paradigms as hypothesize-and-test or syntactic parsing. As a result, these systems are unable to carry out tasks that require concurrent hypotheses.

Traditional methods for image scene interpretation and understanding are based mainly on such single threaded procedural paradigms as hypothesize-and-test or syntactic parsing. As a result, these systems are unable to carry out tasks that require concurrent hypotheses.