Titlebook: Video Image Detection Systems Installation Performance Criteria; Daniel T. Gottuk Book 2008 Fire Protection Research Foundation 2008 IR il

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Daniel T. Gottuk sentence. The key point of this task is to distinguish target-related words and target-unrelated words. To this end, attention mechanism is introduced into this task, which assigns high attention weights to target-related words and ignores target-unrelated words according to the semantic relationsh

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Introduction,ction is being used for a broadening range of applications. For example, these systems are currently installed in electrical power plants, paper mills, document storage facilities, historic municipal buildings, nuclear research facilities, automotive plants, warehouse/distribution centers, and onshore and offshore oil platforms.

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Conclusions,ing performance criteria that are to be broadly applicable. Consequently, similar to optical flame detectors, the design of a VID system should follow an application-specific, performance-based approach.

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Introduction,along with the emphasis on video surveillance since 911 has propelled the development of effective video image detection (VID) systems for fire. Fire protection system designers initially employed these VID systems for use in large facilities, outdoor locations and tunnels. However, video-based dete

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Environmental and Hazard Parameters,os, and a range of ambient conditions to which VID systems may be subjected in the three target applications. This work included researching and reviewing fire incident data and conducting an industry workshop on VID technology. On-site surveys and interviews with end users were also conducted.

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Discussion,systems, have clearly revealed the complexity of fire VID applications. Even for similar occupancies or even different camera locations within the same space, there can be large variations in the environmental factors that impact VID performance. In general, background images (e.g., structures and e