Video-based face recognition by Auto-Associative Elman Neural network

Bailing Zhang, Juntao Zhou

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

6 Citations (Scopus)

Abstract

While classical face recognition (FR) technologies are mainly based on static images, video-based FR is concerned with the matching of two image sets containing facial images captured from each video. Video based FR is supposed to be advantageous as it takes more abundant information in to account to improve accuracy and robustness. Though many methods have been proposed, there still exists a variety of challenges such as the variation in poses and occlusion. In this paper, we proposed a simple video-based face recognition system by proposing an Auto-Associative Elman Network (AAEN) for the comparison of facial image sequences from videos. AAEN is designed to reconstruct its inputs, while compressing the data to a lower-dimensionality in the hidden layer. In the recognition system, faces are first detected by applying the Viola-Jones algorithm and then tracked by exploiting Kalman filtering. We tested our method in two experimental settings, using a webcam for the simulation of video conferencing and a surveillance camera for indoor environments. Experiment results demonstrated that the proposed AAEN model can efficiently handle the temporal face sequences for the recognition task. The average recognition accuracies for the two experimental settings are 90.2% and 86.4% respectively.

Original languageEnglish
Title of host publicationProceedings - 2014 7th International Congress on Image and Signal Processing, CISP 2014
EditorsYi Wan, Jinguang Sun, Jingchang Nan, Quangui Zhang, Liangshan Shao, Lipo Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-93
Number of pages5
ISBN (Electronic)9781479958351
DOIs
Publication statusPublished - 6 Jan 2014
Event2014 7th International Congress on Image and Signal Processing, CISP 2014 - Dalian, China
Duration: 14 Oct 201416 Oct 2014

Publication series

NameProceedings - 2014 7th International Congress on Image and Signal Processing, CISP 2014

Conference

Conference2014 7th International Congress on Image and Signal Processing, CISP 2014
Country/TerritoryChina
CityDalian
Period14/10/1416/10/14

Keywords

  • Elman neural network
  • Video-based Face recognition
  • auto-associative memory
  • face detection
  • face tracking

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