IEICE TRANSACTIONS on Fundamentals
Real-Time Frame-Rate Control for Energy-Efficient On-Line Object Tracking
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.12 pp.2297-2307
- Publication Date
- 2018/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.2297
- Type of Manuscript
- Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
- Category
Authors
Yusuke INOUE
Kyushu University
Takatsugu ONO
Kyushu University
Koji INOUE
Kyushu University
Keyword
Latest Issue
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Yusuke INOUE, Takatsugu ONO, Koji INOUE, "Real-Time Frame-Rate Control for Energy-Efficient On-Line Object Tracking" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 12, pp. 2297-2307, December 2018, doi: 10.1587/transfun.E101.A.2297.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.2297/_p
Copy
@ARTICLE{e101-a_12_2297,
author={Yusuke INOUE, Takatsugu ONO, Koji INOUE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Real-Time Frame-Rate Control for Energy-Efficient On-Line Object Tracking},
year={2018},
volume={E101-A},
number={12},
pages={2297-2307},
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.},
keywords={},
doi={10.1587/transfun.E101.A.2297},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Real-Time Frame-Rate Control for Energy-Efficient On-Line Object Tracking
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2297
EP - 2307
AU - Yusuke INOUE
AU - Takatsugu ONO
AU - Koji INOUE
PY - 2018
DO - 10.1587/transfun.E101.A.2297
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2018
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.
ER -
English
