%0 Journal Article
%T Target Fusion Detection Method Based on Spatiotemporal Multimodal Mean Model<br>基于多模式均值时空模型的目标融合检测方法
%A zhaogaopeng
%A boyuming
%A <br>赵高鹏
%A 薄煜明
%J 中国图象图形学报
%D 2010
%I 
%X Target detection is difficult to be realized in complex scenes when there are moving background objects such as trees. In this paper, a new target fusion detection method is proposed based on background model. Firsty, by combining temporal information of per-pixel and the spatial information in the local region, we introduce a variant of multimodal mean model called the spatiotemporal multimodal mean model that is well suited for the non-stationary scenes. Then, the proposed background model is separately used to extract foreground pixels in visible and infrared image sequences, and a fusion detection method based on the confidence map is proposed to get the target detection result. The multi-sensor information can improve the detection precision and handle different environmental conditions. Experiment results demonstrate the effectiveness of the proposed method.
%K target detection
%K spatiotemporal multimodal mean model
%K fusion detection<br>目标检测
%K 多模式均值时空模型
%K 融合检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=39AC6679F9342D7A61BC6D043A59B9B6&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=5D311CA918CA9A03&sid=15F677B6C13C071A&eid=BE411C407DAF4824&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10