Heuristic Method of Feature Selection for Person Re-identification Based on Gait Motion Capture Data

The authors present a heuristic method of feature selection for gait mocap data, based on the exIWO metaheuristic which is characterized by both the hybrid strategy of the search space exploration and three variants of selection of individuals as candidates for next population. The proposed method was evaluated by the accuracy of person re-identification based on the selected feature subset. Because of the high-dimensional nature of motion data, feature selection was preceded by the data dimensionality reduction.