1988
DOI: 10.1016/0262-8856(88)90001-7
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From image sequences towards conceptual descriptions

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Cited by 139 publications
(59 citation statements)
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References 42 publications
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“…There is a wealth of scene understanding systems roughly divided into four major streams: grammars [2][3][4], blackboard architectures [5,6], probabilistic models [7][8][9], and artificial intelligence methods based on ontologies and description logics [10][11][12]. Some systems perform active vision tasks by controlling cameras [13].…”
Section: Related Workmentioning
confidence: 99%
“…There is a wealth of scene understanding systems roughly divided into four major streams: grammars [2][3][4], blackboard architectures [5,6], probabilistic models [7][8][9], and artificial intelligence methods based on ontologies and description logics [10][11][12]. Some systems perform active vision tasks by controlling cameras [13].…”
Section: Related Workmentioning
confidence: 99%
“…Compositional hierarchies have been employed for high-level scene interpretation by many researchers [1,2,3,4,5] with basically non-probabilistic (crisp) framebased representations, as commonly used in AI. Rimey [6] was the first to model compositional hierarchies with tree-shaped Bayesian Networks (BNs), requiring parts of an aggregate to be conditionally independent.…”
Section: Related Workmentioning
confidence: 99%
“…We therefore propose a probabilistic model, called Bayesian Compositional Hierarchy (BCH), where aggregates (i) are modelled by arbitrary JPDs, (ii) possess an external description abstracting from details about their parts, and (iii) depend on other aggregates only via the part-of relations of the compositional hierarchy. (1) = A (2) etc. The JPD of the complete hierarchy is given by P(A (1) .. A (N) ) = P(A (1) ) P(B 1…”
Section: Bayesian Compositional Hierarchiesmentioning
confidence: 99%
“…In this context, computer-based generic descriptions for complex movements become important. Those accessible in the image understanding literature have been surveyed in Nagel [1988a]. Two even more recent investigations in this direction have been published in Witkin et al [1988] (in particular Section D) and Goddard [1988].…”
Section: Relations To Previous Researchmentioning
confidence: 99%
“…The crucial links between the picture domain results and the natural language processing steps are provided by complex events, i.e., higher conceptual units capturing the spatio-temporal aspects of object motions. A complex event should be understood as aǹ event' in its broadest sense, comprising also notions like`episode' and`history' (see Nagel [1988a]). The recognition of intentions and plans (see Retz-Schmidt [1988]) is, however, outside the scope of this paper.…”
Section: Simultaneous Evaluation and Natural Language Description Of mentioning
confidence: 99%