Self-Adaptive Visual Tracking Method for Illumination Varying Based on Multi-feature Fusion

2009 ◽  
Author(s):  
Jie Su ◽  
Gui-sheng Yin ◽  
Zhen-hua Wei ◽  
Ya-Hui Liu
Keyword(s):  
Visual Tracking ◽  
Feature Fusion ◽  
Tracking Method ◽  
Self Adaptive

scholarly journals Deeper Siamese network with multi‐level feature fusion for real‐time visual tracking

2019 ◽  
Vol 55 (13) ◽  
pp. 742-745 ◽  
Author(s):  
Kang Yang ◽  
Huihui Song ◽  
Kaihua Zhang ◽  
Jiaqing Fan
Keyword(s):  
Real Time ◽  
Visual Tracking ◽  
Feature Fusion ◽  
Siamese Network ◽  
Multi Level

Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network

2020 ◽  
Vol 57 (4) ◽  
pp. 041502
Author(s):  
刘美菊 Liu Meiju ◽  
曹永战 Cao Yongzhan ◽  
朱树云 Zhu Shuyun ◽  
杨尚奎 Yang Shangkui
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Target Tracking ◽  
Feature Fusion ◽  
Tracking Method ◽  
Video Target Tracking

Robust visual tracking using self-adaptive strategy

2019 ◽  
Vol 79 (1-2) ◽  
pp. 141-162 ◽  
Author(s):  
Zhi Chen ◽  
Peizhong Liu ◽  
Yongzhao Du ◽  
Yanmin Luo ◽  
Jing-Ming Guo
Keyword(s):  
Visual Tracking ◽  
Adaptive Strategy ◽  
Self Adaptive

A novel visual tracking method using bat algorithm

2016 ◽  
Vol 177 ◽  
pp. 612-619 ◽  
Author(s):  
Ming-Liang Gao ◽  
Jin Shen ◽  
Li-Ju Yin ◽  
Wei Liu ◽  
Guo-Feng Zou ◽  
...  
Keyword(s):  
Visual Tracking ◽  
Bat Algorithm ◽  
Tracking Method

Robust Visual Tracking Using Particle Filtering on SL(3) Group

2013 ◽  
Vol 457-458 ◽  
pp. 1028-1031
Author(s):  
Ying Hong Xie ◽  
Cheng Dong Wu
Keyword(s):  
Dynamic Model ◽  
Visual Tracking ◽  
Particle Filtering ◽  
Transformation Process ◽  
Covariance Matrices ◽  
Target Area ◽  
Observation Model ◽  
Tracking Method ◽  
Geometric Deformation ◽  
Projection Transformation

Considering the process of objects imaging in the camera is essentially the projection transformation process. The paper proposes a novel visual tracking method using particle filtering on SL(3) group to predict the changes of the target area boundaries of next moment, which is used for dynamic model. Meanwhile, covariance matrices are applied for observation model. Extensive experiments prove that the proposed method can realize stable and accurate tracking for object with significant geometric deformation, even for nonrigid objects.

Sign in / Sign up

Export Citation Format

Share Document