Pedestrian positioning in surveillance video using anthropometric properties for effective communication

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Positioning of pedestrians or persons is an important technique for video-based systems. For network surveillance systems, positioning can be applied to reduce data volume for storage devices and communication traffic. In this paper, we propose a simple positioning method using anthropometric properties such as a face length. A foot point in an image is estimated based on face detection results and anthropometric properties, then perspective transformation converts the foot point into a position on the floor plane. We improve the anthropometric model to reduce estimation errors of positioning. Moreover, as an application of pedestrian positioning, we implement data reduction functions of video data for surveillance systems. Experiments using a 4K video indicate that the average positioning error improves to 0.5 m. In terms of data reduction, we found that combination of tracking, selection of key frames, cropping, resizing, and JPEG compression reduce the 35.6 MB video data to 70 kB. These experiments induce that our approach realize simple and precise positioning and data reduction for effective communication for video surveillance systems.

Original languageEnglish
Title of host publicationWPMC 2020 - 23rd International Symposium on Wireless Personal Multimedia Communications
Subtitle of host publicationBridging Wireless and Business Worlds
PublisherIEEE Computer Society
ISBN (Electronic)9781728182964
DOIs
Publication statusPublished - 2020 Oct 19
Event23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020 - Virtual, Okayama, Japan
Duration: 2020 Oct 192020 Oct 26

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2020-October
ISSN (Print)1347-6890

Conference

Conference23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020
CountryJapan
CityVirtual, Okayama
Period20/10/1920/10/26

Keywords

  • Data reduction
  • Efficient communication
  • Face detection
  • LPWA
  • Positioning
  • Surveillance video
  • Tracking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Pedestrian positioning in surveillance video using anthropometric properties for effective communication'. Together they form a unique fingerprint.

Cite this