Towards Ontology-Based Realtime Behaviour Interpretation

Towards Ontology-Based Realtime Behaviour Interpretation
复制标题

迈向基于本体的实时行为解释

DOI:
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发表时间:
2013
期刊:
Human Behavior Recognition Technologies
影响因子:
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通讯作者:
B. Neumann
B. Neumann
中科院分区:
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文献类型:
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作者:
Wilfried Bohlken;P. Koopmann;Lothar Hotz;B. Neumann

文献摘要

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作者描述了一个基于模型的行为解释的通用框架及其在监控飞机服务活动中的应用。行为模型在标准化的概念知识库中表示,概念定义使用OWL-DL,约束使用扩展SWRL。概念知识库自动转换为用Java和JESS实现的可操作场景解释系统,该系统接受跟踪对象作为输入,并提供高级活动描述作为输出。解释过程采用波束搜索来探索解释空间,由概率评级系统指导。概率模型不能在本体中有效地表示,但它被设计成与行为概念的组合层次紧密对应。通过实际机场数据的实验验证了系统的性能。
The authors describe a generic framework for model-based behaviour interpretation and its application to monitoring aircraft service activities. Behaviour models are represented in a standardised conceptual knowledge base using OWL-DL for concept definitions and the extension SWRL for constraints. The conceptual knowledge base is automatically converted into an operational scene interpretation system implemented in Java and JESS that accepts tracked objects as input and delivers high-level activity descriptions as output. The interpretation process employs Beam Search for exploring the interpretation space, guided by a probabilistic rating system. The probabilistic model cannot be efficiently represented in the ontology, but it has been designed to closely correspond to the compositional hierarchy of behaviour concepts. Experiments are described that demonstrate the system performance with real airport data.