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基于水平集的热红外运动人体目标分割算法

Keywords: 红外成像,人体检测,水平集,活动轮廓

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Abstract:

水平集活动轮廓模型是一种优秀的图像分割方法.针对红外人体检测系统中的图像分割难题,提出了一种基于水平集活动轮廓模型的新算法.该算法包含水平集运动检测模块、水平集亮度检测模块和融合模块.水平集运动检测模块融合了水平集和背景相减技术,通过演化水平集函数同时实现前景分割和背景估计,它用于检测序列中的运动区域,并将其演化结果输入到下一检测模块.水平集亮度检测模块融合了水平集和阈值分割技术.在给出双阈值时,可分割出亮度在双阈值所限定范围内图像区域,它用于检测序列图像序列中可能包含人体目标的全部区域.利用形态学开重建技术,融合模块在融合前两个模块检测结果后输出算法最终分割结果.此外,采用快速数值算法演化水平集检测模块以及优化设置整个算法流程,改善算法运行效率.实验结果表明,相对其他典型算法,该算法具有较高分割精度和运行效率,且对时序亮度变化和镜头运动鲁棒性更好.

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