Vision-based gender recognition using hybrid background subtraction technique

Gourav Takhar, Chandra Prakash, Namita Mittal, Rajesh Kumar

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

2 Citations (Scopus)

Abstract

Gait-Based Gender Classification (GBGC) is a relatively new field in gender classification based applications. Lots of work has been done on gender classification using voice and face. However, little, on the effect of background subtraction on gender classification. This paper focuses on analyzing the effects of background subtraction techniques used to obtained gait energy for GBGC and consider cases where the subject is injured or changes walking behavior intentionally. No prior research has been done on datasets containing walking behavior and effect of background subtraction on GBGC. ViMO and MOG2 are used as background subtraction techniques and applied on the dataset collected at MNIT- Jaipur containing 50 subjects (17 Female and 33 Male) with a total of 590 video sequences. The selected video sequences contained normal walk and unhealthy walk (both left and right) pattern. This paper shows ViMO technique performs better than state of the art MOG2 technique and effect of changing walking behavior is negligible.

Original languageEnglish
Title of host publicationSmart and Innovative Trends in Next Generation Computing Technologies - 3rd International Conference, NGCT 2017, Revised Selected Papers
EditorsPushpak Bhattacharyya, Hanumat G. Sastry, Venkatadri Marriboyina, Rashmi Sharma
PublisherSpringer Verlag
Pages651-662
Number of pages12
ISBN (Print)9789811086595
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event3rd International Conference on Next Generation Computing Technologies, NGCT 2017 - Dehradun, India
Duration: 30 Oct 201731 Oct 2017

Publication series

NameCommunications in Computer and Information Science
Volume828
ISSN (Print)1865-0929

Conference

Conference3rd International Conference on Next Generation Computing Technologies, NGCT 2017
Country/TerritoryIndia
CityDehradun
Period30/10/1731/10/17

Keywords

  • Background subtraction
  • Gait based gender classification (GBGC)
  • MOG2
  • ViMO

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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