3 accepted papers
Multi-object tracking (MOT) has gained remarkable progress in recent years, while due to the complexity of real-world environments, there are still many challenges that remain unsolved, such as object occlusion and deformation. To effectively alleviate this problem, we propose a simple yet effective…
Visual tracking aims at both robust target classification and accurate localization. However, the reliability of the target bounding box and classification score are not properly addressed by most existing trackers, resulting in inaccurate tracking performance. In this paper, we propose to learn bou…
Existing multiple object tracking methods usually strengthen data association by discriminative identity embeddings. However, many works treat object detection and association as two individual tasks, thus gaining limited benefits. In this paper, we follow the joint detection and tracking paradigm t…