Open AccessPedestrians Detection Based on the Integration of Human Features and Kernel Density Estimation
Author(s) -
Guohua Ji,
Xiaohua Zhang,
Xina Cheng
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/490/4/042027
Subject(s) - kernel density estimation , variable kernel density estimation , kernel (algebra) , computer science , a priori and a posteriori , artificial intelligence , multivariate kernel density estimation , density estimation , object detection , pedestrian detection , object (grammar) , bandwidth (computing) , computer vision , kernel method , pattern recognition (psychology) , pedestrian , mathematics , support vector machine , geography , statistics , computer network , philosophy , archaeology , epistemology , combinatorics , estimator