Feature Adaptive Correlation Tracking

Yulong XU, Yang LI, Jiabao WANG, Zhuang MIAO, Hang LI, Yafei ZHANG
2017 IEICE transactions on information and systems  
Feature extractor plays an important role in visual tracking, but most state-of-the-art methods employ the same feature representation in all scenes. Taking into account the diverseness, a tracker should choose different features according to the videos. In this work, we propose a novel feature adaptive correlation tracker, which decomposes the tracking task into translation and scale estimation. According to the luminance of the target, our approach automatically selects either hierarchical
more » ... volutional features or histogram of oriented gradient features in translation for varied scenarios. Furthermore, we employ a discriminative correlation filter to handle scale variations. Extensive experiments are performed on a large-scale benchmark challenging dataset. And the results show that the proposed algorithm outperforms state-of-the-art trackers in accuracy and robustness.
doi:10.1587/transinf.2016edl8164 fatcat:2kpn7f4x35d5pe7y4bgoba64t4