Adaptive Spatial Regularization Target Tracking Algorithm Based on Multifeature Fusion
The accuracy and robustness of object-tracking algorithms are challenging tasks in the field of artificial intelligence. The discriminative correlation filter has fast tracking speed and target discrimination ability in visual target tracking, but it will be affected by unnecessary boundary effects....
Saved in:
Main Authors: | Turdi Tohti, Xifeng Guo, Askar Hamdulla |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2022/9126044 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multifeature Fusion Vehicle Detection Algorithm Based on Choquet Integral
by: Wenhui Li, et al.
Published: (2014-01-01) -
MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion
by: Xuming Han, et al.
Published: (2021-01-01) -
Human Pose Recognition Based on Depth Image Multifeature Fusion
by: Haikuan Wang, et al.
Published: (2018-01-01) -
Multifeature Fusion Detection Method for Fake Face Attack in Identity Authentication
by: Haiqing Liu, et al.
Published: (2018-01-01) -
Fault Diagnosis of Piezoelectric Sensor Patches for Vibration Control Based on Multifeature Fusion and Improved SVM
by: Tian-bing Ma, et al.
Published: (2019-01-01)