用于结构化过程在线分析的多相机融合

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2014-05-27 DOI:10.1145/2674396.2674455

D. Kosmopoulos, Ilias Maglogiannis

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引用次数: 0

摘要

我们提出了一种新的框架，用于在线分析视觉结构化过程，使用来自多个摄像机的融合。通过隐马尔可夫模型支持的粒子滤波实现在线识别。我们评估了三种融合方法，一种是早期融合，一种是观测概率的简单乘法，一种是多流融合，这意味着观测和状态的跨流耦合。该表演在两个复杂的视觉行为理解场景下进行了全面评估:厨房餐桌准备的视觉过程和工业工厂的现实生产过程。对所得结果进行了比较和讨论。

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Multicamera fusion for online analysis of structured processes

We propose a novel framework for online analysis of visual structured processes, using fusion from multiple cameras. Online recognition is performed through particle filters supported by hidden Markov models. We evaluate three fusion methods, an early fusion, a simple multiplication of the observation probabilities and a multi-stream one implying cross-stream coupling of observations and states. The performance is thoroughly evaluated under two complex visual behavior understanding scenarios: a visual process for table preparation in a kitchen and a real life manufacturing process in an industrial plant. The obtained results are compared and discussed.

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Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

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