HOG and HOOF Spatio-Temporal Descriptors for Gesture Recognition

摘要

This article presents a gesture recognition system based on spatio-temporal descriptors such as Histogram of Oriented Gradients 3DHOG, Histogram of Oriented Optical Flow 3DHOOF. One-against-all SVM classifier is used to classify each gesture belonging to a predefined class using a dynamic dataset. Our method consists of implementing three architectures for our classification task: 3DHOG, 3DHOOF, 3DHOG-HOOF, and investigate the benefit of concatenating the two descriptors. Good recognition rate was obtained for the third architecture where 91.66% of efficiency was obtained.