Robust object tracking based on structural local sparsity via a global L2 norm constraint

2016 ◽  
Author(s):  
Meihui Li ◽  
Zhenming Peng ◽  
Ping Zhang
2019 ◽  
Vol 38 (7) ◽  
pp. 3211-3226 ◽  
Author(s):  
Zuyuan Yang ◽  
Yifei Hu ◽  
Naiyao Liang ◽  
Jun Lv

Author(s):  
Yuhao Wu ◽  
Weipeng Cao ◽  
Ye Liu ◽  
Zhong Ming ◽  
Jianqiang Li ◽  
...  
Keyword(s):  
L2 Norm ◽  

2019 ◽  
Author(s):  
X. Ma ◽  
G. Li ◽  
Y. Wang ◽  
H. Li ◽  
W. Yang
Keyword(s):  
L2 Norm ◽  

Author(s):  
K. Botterill ◽  
R. Allen ◽  
P. McGeorge

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.


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