The work in this paper is mainly how to classification of foreground and background effectively using fusion of multiple features in the moving object detection and tracking.
本文主要工作针对运动目标检测和跟踪中的问题，研究运用多特征融合以更有效的完成前景运动目标和背景的分类。
Then extracts the multiple features of these target candidate areas in fusion detection result from the two sensor images as the evidence to eliminate redundant information.
然后在各传感器图像中提取融合检测结果中各候选区域的多个图像特征作为进一步消除冗余信息的证据；
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