We propose a new tracking framework with an attentional mechanism that chooses a subset of the associated correlation filters for increased robustness and computational efficiency.
Choi et al. REF proposed an attentional mechanism based framework, which chose a subset of the associated correlation filters for tracking.
Attentional Correlation Filter Network for Adaptive Visual Tracking
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Computer Science