Fast and robust head detection with arbitrary pose and occlusion

Tao Zhang, Zhijie Yang, Wenjing Jia, Qiang Wu, Jie Yang, Xiangjian He

Research output: Journal PublicationArticlepeer-review

6 Citations (Scopus)

Abstract

Head detection in images and videos plays an important role in a wide range of computer vision and surveillance applications. Aiming to detect heads with arbitrarily occluded faces and head pose, in this paper, we propose a novel Gaussian energy function based algorithm for elliptical head contour detection. Starting with the localization of head and shoulder by an improved Gaussian Mixture Model (GMM) approach, the precise head contour is obtained by making use of the Omega shape formed from the head and shoulder. Experimental results on several benchmark datasets demonstrate the superiority of the proposed idea over the state-of-the-art in both detection accuracy and processing speed, even though there are various types of severe occlusions in faces.

Original languageEnglish
Pages (from-to)9365-9385
Number of pages21
JournalMultimedia Tools and Applications
Volume74
Issue number21
DOIs
Publication statusPublished - 29 Nov 2015
Externally publishedYes

Keywords

  • Arbitrary pose and occlusion
  • Gaussian energy function
  • Head detection
  • Improved GMM
  • Omega shape

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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