公开(公告)号：US20130051613A1

公开(公告)日：2013-02-28

申请号：US13220213

申请日：2011-08-29

申请人： Russell P. Bobbitt ,  Quanfu Fan ,  Zuoxuan Lu ,  Jiyan Pan ,  Sharathchandra U. Pankanti

发明人： Russell P. Bobbitt ,  Quanfu Fan ,  Zuoxuan Lu ,  Jiyan Pan ,  Sharathchandra U. Pankanti

IPC分类号： G06K9/00

CPC分类号： G06K9/00771

摘要： A foreground object blob having a bounding box detected in frame image data is classified by a finite state machine as a background, moving foreground, or temporally static object, namely as the temporally static object when the detected bounding box is distinguished from a background model of a scene image of the video data input and remains static in the scene image for a threshold period. The bounding box is tracked through matching masks in subsequent frame data of the video data input, and the object sub-classified within a visible sub-state, an occluded sub-state, or another sub-state that is not visible and not occluded as a function of a static value ratio. The ratio is a number of pixels determined to be static by tracking in a foreground region of the background model corresponding to the tracked object bounding box over a total number of pixels of the foreground region.

摘要翻译： 在帧图像数据中检测到的具有边界框的前景对象斑点被分类为有限状态机作为背景，移动前景或时间静态对象，即当检测到的边界框与背景模型 输入视频数据的场景图像，并在场景图像中保持静止阈值周期。 通过视频数据输入的后续帧数据中的匹配掩码来跟踪边界框，并且将子分类在可见子状态，闭塞子状态或不可见并且不被遮挡的另一子状态中的对象作为 静态值比的函数。 所述比例是通过在前景区域的总数目的像素对应于跟踪对象边界框的背景模型的前景区域中进行跟踪而确定为静态的像素的数量。