Siamese single object tracking algorithm with natural language prior

摘要

In this paper, a novel method has been proposed to tackle the challenge of distractors interference by bringing in language specification and optical flow supervision in visual tracking tasks. We design the LangTrack framework to implement our approach. We achieve a better performance than most of the recent trackers, and validate the effectiveness of the model. The paper calls for more researches on computer vision tasks with language or knowledge prior.