People counting for indoor monitoring
Elvira Sukma Wahyuni, Rizqi Renafasih Alinra, Hendra Setiawan · 2017
This study aims to develope an automatic system of people counting for indoor monitoring. People detection was performed using Histogram of Oriented Gradien (HOG) based feature descriptor and Support Vector Machine (SVM) classification. In this study several experiment were done to obtain best detection accuraccy i.e., Camera distance, light intensity and object distance. The result showed inaccurate detection is affected by the distance between camera and object, less of light intensity and objects coincide.