融合相关滤波和CNN的点状目标跟踪技术研究

在研究点状目标跟踪的基础上,该算法利用多层卷积特征和相关滤波技术进行目标跟踪.为解决目标因淹没在杂波中丢失的问题,该算法使用重检测机制实现目标的长期跟踪.首先,使用V GG模型提取红外点状目标的多层卷积特征,然后在每一层上经过相关滤波计算最大响应值,最后通过权重融合获得最终响应值,实现点状目标跟踪.当目标丢失时,利用重...

Research on point target tracking technology based on correlation filtering and CNN

Based on the study of point target tracking,the algorithm uses multi-layer convolution feature and correlation filtering technology to track the target.In order to solve the problem that the target is lost in the clutter,the algorithm uses the re-detection mechanism to achieve the long-term target tracking.Firstly,the multi-layer convolution feature of infrared point target is extracted by VGG model.Then the maximum response value is calculated by correlation filtering on each layer.The final response value is obtained by weight fusion to achieve point target tracking.When the target is lost,the re-detection technology is used to detect the target.Then the classifier is updated by using the detection results as labels.Finally,long-term tracking is realized,and theoretical analysis and experimental verification are carried out.The experimental results show that the algorithm is effective and has high accuracy for point target tracking.