Vanishing point-based line sampling for efficient axis-based people localization

Kuo Hua Lo*, Jen-Hui Chuang

*Corresponding author for this work

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

7 Scopus citations

Abstract

In this paper, we propose an efficient people localization approach using multiple cameras based on axial representations of foreground regions. Unlike many previous methods that need to project all foreground pixels of all views to multiple reference planes via homography, we instead apply vanishing point-based line sampling to reduce the large amount of pixel processing so that computational efficiency can be greatly enhanced. Experimental simulations show that the proposed approach is more than 40 times faster than the compared, pixel-based localization method on average, without sacrificing the localization accuracy.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages521-524
Number of pages4
DOIs
StatePublished - 1 Dec 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
CountryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • line samples
  • localization
  • multiple reference planes
  • Vanishing point

Fingerprint Dive into the research topics of 'Vanishing point-based line sampling for efficient axis-based people localization'. Together they form a unique fingerprint.

Cite this