Xiaoxiaong Zhang's scientific contributions

Publication (1)

Conference Paper
Full-text available
Visual Object Tracking (VOT) is an essential task for many computer vision applications. VOT becomes challenging when a target object faces severe occlusion, drastic illumination changes, and scale variation problems. In the literature, Discriminative Correlation Filters (DCFs)-based tracking methods have achieved promising results in terms of accu...

Citations

... Dai et al. [19] presented adaptive regularization in a correlation filter which can learn and update the target model according to appearance variations during tracking. Javed et al. [20] proposed a deep correlation filter-based tracking method, by utilizing both forward and backward tracking information between the regression target and response map. Despite the fact that deep learning-based methods achieve favorable results, the complexity of these methods is still higher with the requirement of offline training. ...