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 language | English |
|---|---|
| Pages (from-to) | 2297-2307 |
| Number of pages | 11 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E101A |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Dec 1 2018 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
- Applied Mathematics
Cite this
Real-Time frame-rate control for energy-efficient on-line object tracking. / Inoue, Yusuke; Ono, Takatsugu; Koji, Inoue.
In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E101A, No. 12, 01.12.2018, p. 2297-2307.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Real-Time frame-rate control for energy-efficient on-line object tracking
AU - Inoue, Yusuke
AU - Ono, Takatsugu
AU - Koji, Inoue
PY - 2018/12/1
Y1 - 2018/12/1
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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85057500292&partnerID=8YFLogxK
U2 - 10.1587/transfun.E101.A.2297
DO - 10.1587/transfun.E101.A.2297
M3 - Article
AN - SCOPUS:85057500292
VL - E101A
SP - 2297
EP - 2307
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
SN - 0916-8508
IS - 12
ER -