… Our work focuses on applying a single object tracking method to handle detection … object
tracker with distractor-aware discrimination learning, the RA and the multi-stage tracking …

… learn the discrimination and reliability information, and then develop an effective tracking …
The concept of the base filter is proposed to focus on discrimination learning. To do this, we …

… However, the importance of feature discrimination is simply ignored by it. Besides, these …
a probabilistic regression tracking method. So, this article aims to enhance the discrimination of …

… can thus generalize to unseen objects, which is crucial in generic object tracking. Our final …
Correlation tracking via joint discrimination and reliability learning. In CVPR, 2018. 7 [38] Ran …

… method based on tracklet confidence and the online discriminative appearance learning. …
proposed online appearance learning allows us to discriminate multiple objects in both asso…

… the variational changes of the target while preserving the ability to discriminate the target …
based object tracking algorithm in an unified framework, which can effectively learn the …

… In this paper, to enhance the discriminative capability of Haar-like features for visual
tracking, we propose an online Fisher discrimination boosting feature selection method, which …

… the recent video object tracking technologies. We … object tracking methods into four
categories: tracking by discriminative correlation filters, tracking by discrimination learning, tracking …

… -task learning approach that imposes a semantic supervision from visual object tracking [2] …
performs M×N siamese tracking operations [2] to increases the discrimination. In this view, …

… objectcentroid training samples and feed them into our deep network for discrimination
learning… is more sensitive to candidate patches of object-centroid and hence drifting is alleviated. …