1-D integral image for enhancing efficiency and effectiveness of probabilistic occupancy map-based people localization approach

Yen Shuo Lin, Hua Tsung Chen, Jenq Neng Hwang, Ching Ju Hsiao, Jen-Hui Chuang

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

Abstract

The popularity of vision-based surveillance systems arouses much research attention in improving the accuracy and efficiency of people localization. Using probabilistic occupancy map (POM) becomes one of the mainstream approaches to people localization due to its great localization accuracy under severe occlusions and lighting changes. However, to enable the usage of rectangular human models and the subsequent 2-D integral image computation, it is assumed that videos are taken at head or eye level. Even so, the computation complexity is still high. Moreover, surveillance videos are often taken from security cameras located at a higher-up location with an oblique viewing angle, so that human models may be quadrilateral and the pixel-based 2-D integral image cannot be utilized. Accordingly, we propose the use of 1-D integral images which are produced for foreground object(s) in an image along equally-spaced line samples originated from the vanishing point of vertical lines (VPVL). Experimental results show that the proposed approach does improve the efficiency and effectiveness of the POM approach in more general camera configurations.

Original languageEnglish
Title of host publicationEighth International Conference on Digital Image Processing, ICDIP 2016
EditorsXudong Jiang, Charles M. Falco
PublisherSPIE
ISBN (Electronic)9781510605039
DOIs
StatePublished - 1 Jan 2016
Event8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China
Duration: 20 May 201623 May 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10033
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th International Conference on Digital Image Processing, ICDIP 2016
CountryChina
CityChengu
Period20/05/1623/05/16

Keywords

  • Efficient algorithm
  • Multiple cameras
  • People localization
  • Probabilistic occupancy map
  • Video surveillance.

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