Fast multi-view people localization using a torso-high reference plane

Chun Chieh Hsu, Hua Tsung Chen, W. J. Tsai, Suh Yin Lee

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

1 Scopus citations

Abstract

People locations bring rich information for a wide spectrum of applications in intelligent video surveillance systems. In addition to localization accuracy, computational efficiency is another significant issue to be highly concerned in people localization. As an essential early stage, people localization has to be accomplished in a very short time, enabling further semantic analysis. However, most state-of-the-art people localization methods pay little attention to computational efficiency. Hence, in this paper we propose an effective and efficient multi-view people localization scheme with several acceleration mechanisms. First, a torso-high reference plane is introduced since in general the torso part (after foreground segmentation) is more intact and stable than the other parts of a human body, and thus can predict potential people locations more reliably. Then, a novel and computationally efficient bitwise-operation scheme is proposed to predict people locations at the intersection regions of foreground line samples from multiple views. After rule-based validation, people locations can be accurately obtained and visualized on a real world plane. Experiments on multi-view surveillance videos not only validate the high accuracy of the proposed method in locating people under crowded scenes with serious occlusions, but also demonstrate an outstanding computational speed.

Original languageEnglish
Title of host publication2017 IEEE Visual Communications and Image Processing, VCIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538604625
DOIs
StatePublished - 28 Feb 2018
Event2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States
Duration: 10 Dec 201713 Dec 2017

Publication series

Name2017 IEEE Visual Communications and Image Processing, VCIP 2017
Volume2018-January

Conference

Conference2017 IEEE Visual Communications and Image Processing, VCIP 2017
CountryUnited States
CitySt. Petersburg
Period10/12/1713/12/17

Keywords

  • camera calibration
  • multiple cameras
  • people localization
  • real-time system
  • Surveillance video analysis

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