Reliable Memory Model for Visual Tracking
Effectively learning the appearance change of a target is the key point of an online tracker. When occlusion and misalignment occur, the tracking results usually contain a great amount of background information, which heavily affects the ability of a tracker to distinguish between targets and backgr...
Main Authors: | Daohui Ge, Ruyi Liu, Yunan Li, Qiguang Miao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/20/2488 |
Similar Items
-
Learning the model update with local trusted templates for visual tracking
by: Zhiyong An, et al.
Published: (2023-02-01) -
Robust Visual Tracking Based on Adaptive Multi-Feature Fusion Using the Tracking Reliability Criterion
by: Lin Zhou, et al.
Published: (2020-12-01) -
Motion-Aware Correlation Filters for Online Visual Tracking
by: Yihong Zhang, et al.
Published: (2018-11-01) -
Data driven visual tracking via representation learning and online multi‐class LPBoost learning
by: Xian Yang, et al.
Published: (2016-02-01) -
A Reliable and Real-Time Tracking Method with Color Distribution
by: Zishu Zhao, et al.
Published: (2017-10-01)