Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach

Takeshi Hatanaka, Riku Funada, Gülsüm Gezer, Masayuki Fujita

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we investigate a distributed visual 3-D localization of a human using a pedestrian detection algorithm for a camera network. We first formulate the problem as a distributed optimization problem. Then, PI consensus estimator-based distributed optimization scheme is extended so that it is applicable to the present problem. We then prove convergence to the optimal solution based on the passivity paradigm. We finally demonstrate the present solution through simulation both in static and dynamic cases.

Original languageEnglish
Pages (from-to)210-215
Number of pages6
JournalIFAC-PapersOnLine
Volume49
Issue number22
DOIs
Publication statusPublished - 2016 Jan 1
Externally publishedYes

Keywords

  • 3-D Human Localization
  • Camera Network
  • Distributed Optimization
  • Passivity
  • Pedestrian Detection Algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Distributed Visual 3-D Localization of A Human Using Pedestrian Detection Algorithm: A Passivity-Based Approach'. Together they form a unique fingerprint.

  • Cite this