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    • 12. 发明授权
    • Video-based system and method for fire detection
    • 基于视频的火灾探测系统和方法
    • US08655010B2
    • 2014-02-18
    • US13000698
    • 2008-06-23
    • Alan Matthew FinnPei-Yuan PengRodrigo E. CaballeroZiyou XiongHongcheng Wang
    • Alan Matthew FinnPei-Yuan PengRodrigo E. CaballeroZiyou XiongHongcheng Wang
    • G06K9/00
    • G08B17/125G08B13/194G08B13/19682
    • A video recognition system detects the presence of fire based on video data provided by one or more video detectors, but suppresses the triggering of an alarm in situations based on the selection of acceptable regions and application of rules associated with each acceptable region. A user defines acceptable regions within the field of view of the video detector and associates with each acceptable region a rule. During processing of video data associated with the field of view, video metrics are calculated and analyzed to detect the presence of fire (e.g., flame or smoke). Prior to triggering an alarm, regions identified as indicative of fire are compared with the user-defined acceptable regions. If there is overlap between the two regions, the rule associated with the acceptable region is applied to determine whether the alarm should be suppressed or triggered.
    • 视频识别系统基于由一个或多个视频检测器提供的视频数据来检测是否存在火灾,但是在基于可接受区域的选择和与每个可接受区域相关联的规则的应用的情况下抑制触发警报。 用户定义视频检测器的视场内的可接受区域,并与每个可接受区域相关联的规则。 在与视场相关联的视频数据的处理期间,计算和分析视频度量以检测火的存在(例如,火焰或烟雾)。 在触发报警之前,确定为指示火灾的区域与用户定义的可接受区域进行比较。 如果两个区域之间存在重叠,则应用与可接受区域相关联的规则来确定是否应该抑制或触发警报。
    • 13. 发明授权
    • System and method for video detection of smoke and flame
    • 烟雾和火焰的视频检测系统和方法
    • US08462980B2
    • 2013-06-11
    • US12736748
    • 2008-05-08
    • Rodrigo E. CaballeroHongcheng WangZiyou XiongPei-Yuan PengAlan Matthew Finn
    • Rodrigo E. CaballeroHongcheng WangZiyou XiongPei-Yuan PengAlan Matthew Finn
    • G06K9/00G06K9/46
    • G08B17/125G06K9/00771
    • A video recognition system detects the presence of fire based on video data provided by one or more video detectors. The video recognition system divides each individual frame of video data into a plurality of frame elements and calculates with respect to each frame element a structural feature that the algorithm uses to identify a core region of potential fire. The video recognition system defines a region surrounding the core region and calculates with respect to each frame element within the surrounding region a temporal feature. Based on the calculated temporal feature, the video recognition system associates a representative temporal value with the core region. Based on the structural and temporal features associated with the core region, video recognition system determines whether the video data indicates the presence of fire.
    • 视频识别系统基于由一个或多个视频检测器提供的视频数据来检测是否存在着火。 视频识别系统将视频数据的每个单独的帧划分成多个帧元素,并且针对每个帧元素计算算法用于识别潜在火的核心区域的结构特征。 视频识别系统定义围绕核心区域的区域,并且相对于周围区域内的每个帧元素计算时间特征。 基于计算的时间特征,视频识别系统将代表性的时间值与核心区域相关联。 基于与核心区域相关联的结构和时间特征,视频识别系统确定视频数据是否表示存在火灾。
    • 15. 发明授权
    • System and method for auto-commissioning an intelligent video system
    • 自动调试智能视频系统的系统和方法
    • US08953039B2
    • 2015-02-10
    • US13175540
    • 2011-07-01
    • Zhen JiaJianwei ZhaoPenghe GengZiyou XiongJie XiZhengwei JiangAlan Matthew Finn
    • Zhen JiaJianwei ZhaoPenghe GengZiyou XiongJie XiZhengwei JiangAlan Matthew Finn
    • H04N7/18G06K9/62
    • G06K9/6264
    • An auto-commissioning system provides automatic parameter selection for an intelligent video system based on target video provided by the intelligent video system. The auto-commissioning system extracts visual feature descriptors from the target video and provides the one or more visual feature descriptors associated with the received target video to an parameter database that is comprised of a plurality of entries, each entry including a set of one or more stored visual feature descriptors and associated parameters tailored for the set of stored visual feature descriptors. A search of the parameter database locates one or more best matches between the extracted visual feature descriptors and the stored visual feature descriptors. The parameters associated with the best matches are returned as part of the search and used to commission the intelligent video system.
    • 自动调试系统根据智能视频系统提供的目标视频为智能视频系统提供自动参数选择。 自动调试系统从目标视频中提取视觉特征描述符,并将与接收到的目标视频相关联的一个或多个视觉特征描述符提供给由多个条目组成的参数数据库,每个条目包括一组或多个 存储的可视特征描述符和针对所存储的可视特征描述符集合定制的相关参数。 参数数据库的搜索找到所提取的视觉特征描述符和所存储的视觉特征描述符之间的一个或多个最佳匹配。 与最佳匹配相关联的参数作为搜索的一部分返回,用于调试智能视频系统。