基于联合直方图的红外与可见光目标融合跟踪Tracking Infrared-visible Target with Joint Histogram
蔡冰;张灿龙;李志欣;
摘要(Abstract)：
针对传统单核跟踪算法只能单独跟踪红外或可见光运动目标,导致目标的跟踪效果不是很理想,甚至跟踪失败的问题,本文提出了一种基于均值漂移的红外与可见光目标融合跟踪算法。该算法仍以直方图为目标表示模型,通过将红外目标的相似度和可见光目标的相似度进行加权融合,来构建新的目标函数,并依据核跟踪推理机制导出目标的联动位移公式;最后使用均值漂移程序实现目标的自动搜索。多个视频序列对的测试结果表明,本文提出的融合跟踪方法在处理场景拥簇、光照变化等方面要优于传统的单源跟踪方法,同时具有较高的实时性。
关键词(KeyWords)： 均值漂移;直方图;融合跟踪;红外与可见光;相似度
基金项目(Foundation): 国家自然科学基金(61365009,61462008,61663004);; 广西自然科学基金(2014GXNSFAA118368,2013GXNSFAA019336,2016GXNSFAA380146);; 广西师范大学博士科研启动基金(师政科技[2015]13号);; 广西信息科学实验室中心经费资助课题
作者(Authors): 蔡冰;张灿龙;李志欣;
DOI: 10.16088/j.issn.1001-6600.2017.03.005
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