【摘要】 针对海天背景下的红外舰船图像对比度低、船载摄像机上下抖动剧烈的特点,文中提出了均值移位(mean-shift)和海天线检测相结合的红外目标实时跟踪算法。首先通过水平投影方法提取每帧图像的海天线,然后由相邻帧海天线的高度差设定每帧图像跟踪起始点,将目标的灰度和梯度信息进行加权来描述目标特征,利用mean-shift算法进行目标跟踪。实验结果表明,文中算法能够准确跟踪上下运动剧烈的红外舰船目标,跟踪速度达到12 fps。更多还原

【Abstract】 A real-time algorithm under various complicated sea-sky background,which corresponded to the feature of low contrast around infrared ship and sharp up-and-down motion of camera on boat,was proposed by combining mean-shift and sea-sky-line detection. Firstly,the height of sea-sky-line was extracted by the horizontal projection method,and then the height difference of sea-sky-line in adjacent frames was used to set starting position at current frame,furthermore,the target’s feature was described by creating weighted histogram which combined gray-level and gradients orientation information,and finally,mean-shift was used to track the position of target. Experimental results show that this algorithm can track infrared up-and-down motion ship target accurately,and the tracking speed can reach12 fps.更多还原