会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 发明申请
    • Unusual event detection via collaborative video mining
    • 通过协作视频挖掘异常事件检测
    • US20070279490A1
    • 2007-12-06
    • US11446893
    • 2006-06-05
    • Hanning ZhouDonald KimberLynn Wilcox
    • Hanning ZhouDonald KimberLynn Wilcox
    • H04N7/18
    • G06K9/00771G06K9/6218
    • Embodiments of the present invention describe a collaborative framework for mining of surveillance videos to detect abnormal events, which introduces a two-stage training process to alleviate the high false alarm problem. In the first stage, unsupervised clustering is performed on the segments of the video streams and a set of abnormal events are combined with user feedback to generate a clean training set. In the second stage, the clean training set is used to train a more precise model for the analysis of normal events and the motion detection results from multiple cameras can be cross validated and combined. This description is not intended to be a complete description of, or limit the scope of, the invention. Other features, aspects, and objects of the invention can be obtained from a review of the specification, the figures, and the claims.
    • 本发明的实施例描述了用于检测异常事件的监视视频挖掘的协同框架,其引入了两阶段训练过程以减轻高错误警报问题。 在第一阶段,对视频流的片段执行无监督的聚类,并且将一组异常事件与用户反馈相结合以产生干净的训练集。 在第二阶段,清洁训练集用于训练更准确的模型,用于分析正常事件,并且可以交叉验证并组合来自多个摄像机的运动检测结果。 本说明书不是对本发明的完整描述或限制本发明的范围。 本发明的其它特征,方面和目的可以通过对说明书,附图和权利要求的评述来获得。