New face detection method based on multi-scale histograms

Chih Yang Lin, Jing Tong Fu, Sheng Hung Wang, Chung Lin Huang

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

5 Scopus citations

Abstract

Face detection plays a significant role in many applications, such as video surveillance, gender classification, and facial recognition. In this paper, we propose a new face detection method based on multi-scale histograms. The proposed method uses a multi-scale histogram to represent a face, thereby improving computational efficiency, and making the process suitable for big-data multimedia databases. The experimental results show that the proposed method can achieve accuracy rates similar to the LBP-based method, but at a speed over 10 times more quickly when the block size is properly set.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-232
Number of pages4
ISBN (Electronic)9781509021789
DOIs
StatePublished - 16 Aug 2016
Event2nd IEEE International Conference on Multimedia Big Data, BigMM 2016 - Taipei, Taiwan
Duration: 20 Apr 201622 Apr 2016

Publication series

NameProceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016

Conference

Conference2nd IEEE International Conference on Multimedia Big Data, BigMM 2016
Country/TerritoryTaiwan
CityTaipei
Period20/04/1622/04/16

Keywords

  • Face detection
  • Multi-scale descriptor
  • Texture feature

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