Situation-based dynamic frame-rate control for on-line object tracking

Yusuke Inoue, Takatsuau Ono, Koji Inouer

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

Abstract

On-line object tracking is an essential technology in computer vision. Object tracking systems need to reduce their energy consumption because the technology is increasingly being utilized for battery-operated systems, e.g., driving assist systems, smartphones, drones and so on. To tackle this problem, dynamic frame-rate optimization has been proposed. This approach optimizes the frame-rate on the basis of target object speed by taking into account the energy trade-off between the image capturing and tracking processes. In order to improve tracking accuracy, the approach selects a frame-rate based on a specific fixed value. However, the required parameters are different depending on the scene and content of the input video. In this paper, we propose a method to adaptively select parameters. Simulation results show the energy consumption is reduced by up to about 65.0%, and 45.0 % on average without critical tracking accuracy degradation.

Original languageEnglish
Title of host publication2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-122
Number of pages4
ISBN (Electronic)9781538692301
DOIs
Publication statusPublished - Apr 1 2019
Event2018 Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018 - Alexandria, Egypt
Duration: Dec 17 2018Dec 19 2018

Publication series

Name2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018

Conference

Conference2018 Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018
Country/TerritoryEgypt
CityAlexandria
Period12/17/1812/19/18

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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