foreground object detection and segmentation 前景目标的检测和分割
In object detection of high frequency sonar image, it needs to get the parameters of foreground objects after image segmentation.
在高频声纳图像目标检测中，对图像分割后，需要对前景目标参数进行提取。
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。
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