Tracking people with active cameras using variable time-step decisions

Alparslan Yildiz, Noriko Takemura, Maiya Hori, Yoshio Iwai, Kosuke Sato

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this study, we introduce a system for tracking multiple people using multiple active cameras. Our main objective is to surveille as many targets as possible, at any time, using a limited number of active cameras. In our context, an active camera is a statically located pan-tiltzoom camera. In this research, we aim to optimize the camera configuration to achieve maximum coverage of the targets. We first devise a method for efficient tracking and estimation of target locations in the environment. Our tracking method is able to track an unknown number of targets and easily estimate multiple future time-steps, which is a requirement for active cameras. Next, we present an optimization of camera configuration with variable time-step that is optimal given the estimated object likelihoods for multiple future frames. We confirmed our results using simulation and real videos, and show that without introducing any significant computational complexities, it is possible to use active cameras to the point that we can track and observe multiple targets very effectively.

Original languageEnglish
Pages (from-to)2124-2130
Number of pages7
JournalIEICE Transactions on Information and Systems
VolumeE97-D
Issue number8
DOIs
Publication statusPublished - Aug 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'Tracking people with active cameras using variable time-step decisions'. Together they form a unique fingerprint.

Cite this