Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
Computer Vision and Pattern Recognition
2019-09-04 v1 Image and Video Processing
Abstract
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking. For a long sequence, the object is often fully occluded or out of view for a long time, and existing short-term object tracking algorithms often lose the target, and it is difficult to re-catch the target even if it reappears again. In this paper a novel long-term object tracking algorithm flow_MDNet_RPN is proposed, in which a tracking result judgement module and a detection module are added to the short-term object tracking algorithm. Experiments show that the proposed long-term tracking algorithm is effective to the problem of target disappearance.
Cite
@article{arxiv.1909.00319,
title = {Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking},
author = {Han Wu and Xueyuan Yang and Yong Yang and Guizhong Liu},
journal= {arXiv preprint arXiv:1909.00319},
year = {2019}
}