Visual Tracking Based on Discriminative Compressed Features
Visual tracking is a challenging research topic in the field of computer vision with many potential applications. A large number of tracking methods have been proposed and achieved designed tracking performance. However, the current state-of-the-art tracking methods still can not meet the requiremen...
Main Authors: | Wei Liu, Hui Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2018/7481645 |
Similar Items
-
Visual Tracking via Feature Tensor Multimanifold Discriminate Analysis
by: Ting-quan Deng, et al.
Published: (2014-01-01) -
Robust Visual Tracking with Discrimination Dictionary Learning
by: Yuanyun Wang, et al.
Published: (2018-01-01) -
Robust appearance feature learning using pixel‐wise discrimination for visual tracking
by: Minji Kim, et al.
Published: (2019-05-01) -
A compressed multiple feature and adaptive scale estimation method for correlation filter-based visual tracking
by: ZL Wang, et al.
Published: (2018-01-01) -
Online Learning of Discriminative Correlation Filter Bank for Visual Tracking
by: Jian Wei, et al.
Published: (2018-03-01)