Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity

Algorithm 1

The algorithm for low-rank representation-based multitask feature learning.

(1) Input: A data set of data points , and parameters , , , .

(2) Output: Optimal coefficient , and errors

(3) Initialization: Set , , , , , ,  , , ,

, and

(4) Iterate until (18) and (19) is not satisfied:

Fix other variables and update using (7)

Fix other variables and update using (8)

Fix other variables and update and using (9) and (10)

Fix other variables and update using (12)

Update , , , and parameters using (13)

Update using (16) and (17)

(5) End