Real Time Face Detection and Identification from Video Sequences Combining LBP Algorithm and Convolutional Neural Network

EasyChair Preprint 8231

Abstract

in this work, we propose an algorithm for face detection and recognition in real time application. The proposed algorithm combine the local binary pattern with the convolutional neural network and it’ is splitted into two steps: The first step is face detecting from video sequence and the second one is face identification after features extraction operation using LBP algorithm. These two steps are performed using convolutional neural network which is a tending type of neural network based on deep learning. Extensive experiments on several test datasets are conducted to evaluate the proposed method. In fact simulation results are very interesting and show the efficiency of the suggested method.

Keyphrases: Convolutional Neural Network, Face Identification, LBP, deep learning, face detection, real-time

@booklet{EasyChair:8231,
  author    = {Zouhair Mbarki and Besma Miladi and Chiraz Jabeur Seddik and Maryem Fadhly and Hassene Seddik},
  title     = {Real Time Face Detection and Identification from Video Sequences Combining LBP Algorithm and Convolutional Neural Network},
  howpublished = {EasyChair Preprint 8231},
  year      = {EasyChair, 2022}}