Adaptive frame-rate optimization for energy-efficient object tracking

Yusuke Inoue, Takatsugu Ono, Koji Inoue

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

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, Jane You, George Jandieri, George Jandieri, Iakov Korovin, Gerald Schaefer, Kok Swee Sim, Ashu M. G. Solo
PublisherCSREA Press
Pages158-164
Number of pages7
ISBN (Electronic)1601324421, 9781601324429
Publication statusPublished - Jan 1 2016
Event2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016 - Las Vegas, United States
Duration: Jul 25 2016Jul 28 2016

Publication series

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

Conference

Conference2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016
CountryUnited States
CityLas Vegas
Period7/25/167/28/16

Fingerprint

Computer vision
Energy utilization
Degradation

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Cite this

Inoue, Y., Ono, T., & Inoue, K. (2016). Adaptive frame-rate optimization for energy-efficient object tracking. In H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, J. You, G. Jandieri, G. Jandieri, I. Korovin, G. Schaefer, K. S. Sim, ... A. M. G. Solo (Eds.), Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016 (pp. 158-164). (Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016). CSREA Press.

Adaptive frame-rate optimization for energy-efficient object tracking. / Inoue, Yusuke; Ono, Takatsugu; Inoue, Koji.

Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016. ed. / 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. CSREA Press, 2016. p. 158-164 (Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016).

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

Inoue, Y, Ono, T & Inoue, K 2016, Adaptive frame-rate optimization for energy-efficient object tracking. in HR Arabnia, L Deligiannidis, FG Tinetti, J You, G Jandieri, G Jandieri, I Korovin, G Schaefer, KS Sim & AMG Solo (eds), Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016. Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016, CSREA Press, pp. 158-164, 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016, Las Vegas, United States, 7/25/16.
Inoue Y, Ono T, Inoue K. Adaptive frame-rate optimization for energy-efficient object tracking. In Arabnia HR, Deligiannidis L, Tinetti FG, You J, Jandieri G, Jandieri G, Korovin I, Schaefer G, Sim KS, Solo AMG, editors, Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016. CSREA Press. 2016. p. 158-164. (Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016).
Inoue, Yusuke ; Ono, Takatsugu ; Inoue, Koji. / Adaptive frame-rate optimization for energy-efficient object tracking. Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016. editor / 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. CSREA Press, 2016. pp. 158-164 (Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016).
@inproceedings{5c177ec7794f406cb142f961edd8cbbb,
title = "Adaptive frame-rate optimization for energy-efficient object tracking",
abstract = "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.",
author = "Yusuke Inoue and Takatsugu Ono and Koji Inoue",
year = "2016",
month = "1",
day = "1",
language = "English",
series = "Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016",
publisher = "CSREA Press",
pages = "158--164",
editor = "Arabnia, {Hamid R.} and Leonidas Deligiannidis and Tinetti, {Fernando G.} and Jane You and George Jandieri and George Jandieri and Iakov Korovin and Gerald Schaefer and Sim, {Kok Swee} and Solo, {Ashu M. G.}",
booktitle = "Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016",

}

TY - GEN

T1 - Adaptive frame-rate optimization for energy-efficient object tracking

AU - Inoue, Yusuke

AU - Ono, Takatsugu

AU - Inoue, Koji

PY - 2016/1/1

Y1 - 2016/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85057503898&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85057503898&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85057503898

T3 - Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016

SP - 158

EP - 164

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

A2 - Arabnia, Hamid R.

A2 - Deligiannidis, Leonidas

A2 - Tinetti, Fernando G.

A2 - You, Jane

A2 - Jandieri, George

A2 - Jandieri, George

A2 - Korovin, Iakov

A2 - Schaefer, Gerald

A2 - Sim, Kok Swee

A2 - Solo, Ashu M. G.

PB - CSREA Press

ER -