Research Article
An Efficient Feature Selection Method for Video-Based Activity Recognition Systems
Algorithm 2
Mutual information-based feature section along with greedy forwarding algorithm.
| Input: Zs, K, Ixy, Cy, | | Output: Sk | | begin | | S = | | for k = 1 to K do | | = St. Dev. of Ik | | k = Average value of Ik | | Ik = Ik−k | | In = Ik/k | | end | | = Quantiz(I) | | for i = 1 to K do | | for j = 1 to Z do | | Calculate fp(j) | | end | | s = argmaxis(fp (i) | | S = S s | | end | | end |
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