针对背景感知相关滤波器的空间正则化权重固定，不适应目标变化和增大搜索区域，易引入背景噪声导致滤波器判别力下降等问题，本文提出一种基于自适应空间正则化和畸变抑制的相关滤波跟踪算法。首先提取FHOG特征、CN特征和灰度特征以增强算法模型对目标的表达能力；其次，在目标函数中加入畸变抑制项来约束当前帧的响应图，增强滤波器的判别能力，以缓解滤波器模型退化问题；最后，在目标函数中加入自适应空间正则化项使空间正则化权重能够随着目标的变化而更新，使得滤波器能充分利用目标的多样性信息。本文在公开数据集OTB-2013、OTB-2015和VOT2016上进行实验，以对所提算法进行评估。实验结果表明：本文算法速度为20 f/s，距离精度和成功率等评估指标均优于对比算法，在遮挡、背景干扰、旋转变化等多种复杂场景下都有良好的鲁棒性。
基于自适应空间正则化和畸变抑制的相关滤波跟踪
作者单位信息
通信作者： qing_lb@scu.edu.cn
出版日期：2021年1月15日
摘要
参考文献
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基金项目：
国家自然科学基金资助项目(61871278)；四川省科技厅国际科技合作与交流研发项目(2018HH0143)；成都市产业集群协同创新项目(2016-XT00-00015-GX)
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王叶, 刘强, 卿粼波, 等. 基于自适应空间正则化和畸变抑制的相关滤波跟踪[J]. 光电工程, 2021, 48(1): 200068.
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