Adaptive frame-rate optimization for energy-efficient object tracking

Yusuke Inoue, Takatsugu Ono, Koji Inoue

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

On-line object tracking (OLOT) has been a core technology in computer vision, and its importance has been increasing rapidly. Because this technology is utilized for battery-operated products, energy consumption must be minimized. This paper describes a method of adaptive frame-rate optimization to satisfy that requirement. An energy trade-off occurs between image capturing and object tracking. Therefore, the method optimizes the frame-rate based on always changed object speed for minimizing the total energy while taking into account the trade-off. Simulation results show a maximum energy reduction of 50.0%, and an average reduction of 35.9% without serious tracking accuracy degradation.

本文言語英語
ホスト出版物のタイトルProceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016
編集者Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, Jane You, George Jandieri, George Jandieri, Iakov Korovin, Gerald Schaefer, Kok Swee Sim, Ashu M. G. Solo
出版社CSREA Press
ページ158-164
ページ数7
ISBN(電子版)1601324421, 9781601324429
出版ステータス出版済み - 1 1 2016
イベント2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016 - Las Vegas, 米国
継続期間: 7 25 20167 28 2016

出版物シリーズ

名前Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016

会議

会議2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016
国/地域米国
CityLas Vegas
Period7/25/167/28/16

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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