关键词: 目标跟踪, 相关滤波, 稀疏重构, 中心先验

Abstract: To address the problems of target deformation and poor robustness of tracking in complex environment, a correlation filter tracking algorithm fusing image saliency via sparse reconstruction is proposed. In the process of target tracking, background template is extracted by superpixel segmentation. Target color correlation is obtained based on sparse reconstruction. Then the correlation filter detection score is combined with the target color detection score for accurate tracking. Template update speed is adjusted by the peak sidelobe ratio which is based on the fused detection score. Meanwhile, a center prior is established to correct the sparse reconstruction based saliency map. The proposed target tracking framework can adapt to deformation, illumination and other complexities. Experiments show that this algorithm is superior to other state-of-art tracking algorithms in terms of accuracy and robustness.

Key words: target tracking, correlation filter, sparse reconstruction, center prior