专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US09349054B1 Foreground detector for video analytics system 有权
标题翻译：视频分析系统前景探测器
公开(公告)号：US09349054B1
公开(公告)日：2016-05-24
申请号：US14526756
申请日：2014-10-29
申请人： Behavioral Recognition Systems, Inc.
发明人： Kishor Adinath Saitwal , Lon Risinger , Wesley Kenneth Cobb
IPC分类号： G06K9/34 , G06K9/00 , G06T7/00 , G06K9/62
CPC分类号： G06K9/00785 , G06T7/11 , G06T7/136 , G06T7/194 , G06T2207/10016
摘要： Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.
摘要翻译：公开了用于使用基于像素的方法和基于上下文的方法来创建场景的背景模型的技术。组合方法提供了一种用于从视频流的帧中的背景分割场景前景的有效技术。此外，该方法可以缩放以同时处理大量摄像机进给，例如使用并行处理架构，同时仍然产生准确的背景模型。此外，使用基于像素的方法和基于上下文的方法确保了视频分析系统可以有效地和有效地响应场景中的变化，而不会过度增加计算复杂性。此外，公开了通过经由吸收窗口将前景像素吸收到背景模型中并且动态地更新背景/前景阈值来从帧到帧更新背景模型的技术。

2. 发明授权

US09460522B2 Incremental update for background model thresholds 有权
标题翻译：背景模型阈值的增量更新
公开(公告)号：US09460522B2
公开(公告)日：2016-10-04
申请号：US14526879
申请日：2014-10-29
申请人： Behavioral Recognition Systems, Inc.
发明人： Kishor Adinath Saitwal , Lon Risinger , Wesley Kenneth Cobb
IPC分类号： G06K9/36 , G06T7/40 , G06T7/20 , G06K9/38 , G06K9/00
CPC分类号： G06T7/90 , G06K9/00624 , G06K9/38 , G06K9/40 , G06T7/194 , G06T7/215 , G06T7/254 , G06T2207/10016 , G06T2207/10024 , G06T2207/20036 , G06T2207/20076
摘要： Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.
摘要翻译：公开了用于使用基于像素的方法和基于上下文的方法来创建场景的背景模型的技术。组合方法提供了一种用于从视频流的帧中的背景分割场景前景的有效技术。此外，该方法可以缩放以同时处理大量摄像机进给，例如使用并行处理架构，同时仍然产生准确的背景模型。此外，使用基于像素的方法和基于上下文的方法确保了视频分析系统可以有效地和有效地响应场景中的变化，而不会过度增加计算复杂性。此外，公开了通过经由吸收窗口将前景像素吸收到背景模型中并且动态地更新背景/前景阈值来从帧到帧更新背景模型的技术。

3. 发明授权

US09471844B2 Dynamic absorption window for foreground background detector 有权
标题翻译：前景背景检测器的动态吸收窗口
公开(公告)号：US09471844B2
公开(公告)日：2016-10-18
申请号：US14526815
申请日：2014-10-29
申请人： Behavioral Recognition Systems, Inc.
发明人： Kishor Adinath Saitwal , Lon Risinger , Wesley Kenneth Cobb
IPC分类号： G06K9/36 , G06K9/38 , G06T7/00 , G06T7/40
CPC分类号： G06K9/38 , G06K9/00664 , G06K9/00785 , G06K9/4652 , G06T7/11 , G06T7/155 , G06T7/194 , G06T2207/10016 , G06T2207/10024 , G06T2207/20041 , G06T2207/20081 , G06T2207/20182 , G06T2207/30236
摘要： Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.
摘要翻译：公开了用于使用基于像素的方法和基于上下文的方法来创建场景的背景模型的技术。组合方法提供了一种用于从视频流的帧中的背景分割场景前景的有效技术。此外，该方法可以缩放以同时处理大量摄像机进给，例如使用并行处理架构，同时仍然产生准确的背景模型。此外，使用基于像素的方法和基于上下文的方法确保了视频分析系统可以有效地和有效地响应场景中的变化，而不会过度增加计算复杂性。此外，公开了通过经由吸收窗口将前景像素吸收到背景模型中并且动态地更新背景/前景阈值来从帧到帧更新背景模型的技术。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式