A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

In this paper, we present a machine learning classifier which is used for pedestrian detection based on XGBoost. Our approach, the Genetic Algorithm is introduced to optimize the parameter tuning process during training an XGBoost model. In order to improve the classification accuracy, HOG and LBP f...

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Bibliographic Details
Main Authors: Yu Jiang, Guoxiang Tong, Henan Yin, Naixue Xiong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Pedestrain detection
histogram of oriented gradient features (HOG)
local binary patterns (LBP) XGBoost classifier
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/8807116/

Internet

https://ieeexplore.ieee.org/document/8807116/

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