Research Article
Vision Target Tracker Based on Incremental Dictionary Learning and Global and Local Classification
Algorithm 1
Algorithm of Fisher discrimination dictionary learning.
Input: is the tracking result of prior frame, is set of | candidate samples credible positions of the center-point coordinates in next | frame. is Over-complete dictionary, is frame numbers. | (1) for | (2) SRGC | calculate = | (3) calculate identity; where , | (4) obtaining the center point from | (5) obtaining the by and Affine transformation of | (6) SRLC to ; | calculate ; | (7) calculate identity, where | Output: |
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