Human Detection under Non-controlled Environments
作者单位：Department of AutomationUniversity of Science and Technology of China
会议名称：《第16届中国系统仿真技术及其应用学术会议》
会议日期：2015年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
基 金：National Natural Science Foundation of PR China(61375079) the Chinese Academy of Science-The World Academy of Sciences(CAS-TWAS) President’s Fellowship
关 键 词：Single-scale Retinex(SSR) Histogram of Oriented Gradient(HOG) Local Binary Patterns(LBP) Support Vector Machine(SVM) Human Detection
摘 要：Real time object tracking commonly suffers from various real life problems like varying pose,occlusion and *** this paper,the illumination problem is handled that highly influences the quality of people *** main focus is to eliminate the lighting effect and increase the success ratio in *** proposed system removes the noise from single-scale retinex（SSR） image via linear smoothing filter which in fact segregates the actual features from illumination *** addition,we extend processed images with original histogram of oriented gradients（HOG） based detector and local binary patterns（LBP） for training to classify the negative and positive ***,we utilized support vector machine（SVM） for classification *** results show that the proposed method have more accuracy as compared to original HOG+SVM method.