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

被引：0

作者：

Josinski, Henryk ^{[2
]}

Michalczuk, Agnieszka ^{[1
]}

Kostrzewa, Daniel ^{[3
]}

Switonski, Adam ^{[1
]}

Wojciechowski, Konrad ^{[1
,2
]}

机构：

[1] Polish Japanese Inst Informat Technol, PL-41902 Bytom, Poland

[2] Silesian Tech Univ, Inst Comp Sci, PL-44100 Gliwice, Poland

[3] Silesian Tech Univ, Dept Ind Informat, PL-40019 Katowice, Poland

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT II | 2014年 / 8398卷

关键词：

feature selection; exIWO algorithm; gait analysis; person re-identification; dimensionality reduction; MPCA algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：585 / 594

页数：10

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