In this paper, we present a simple yet fast and robust algorithm which exploits the dense spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal …
Visual object tracking is a significant computer vision task which can be applied to many domains, such as visual surveillance, human computer interaction, and video compression …
Structured support vector machine (SSVM) based methods has demonstrated encouraging performance in recent object tracking benchmarks. However, the complex and expensive …
Z Chen, Z Hong, D Tao - arXiv preprint arXiv:1509.05520, 2015 - arxiv.org
Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling …
Y Liu, XY Jing, J Nie, H Gao, J Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Depth cameras have recently become popular and many vision problems can be better solved with depth information. But, how to integrate depth information into a visual tracker to …
H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial discharge (PD) source identification and probabilistic interpretation of the classification …
While some efforts have been paid to handle deformation and occlusion in visual tracking, they are still great challenges. In this paper, a dynamic graph-based tracker (DGT) is …
C Ma, Z Miao, XP Zhang, M Li - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Real-time object tracking has wide applications in time-critical multimedia processing areas such as motion analysis and human-computer interaction. It remains a hard problem to …
T Wang, H Ling - IEEE transactions on pattern analysis and …, 2017 - ieeexplore.ieee.org
Matching-based algorithms have been commonly used in planar object tracking. They often model a planar object as a set of keypoints, and then find correspondences between …