The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
OLOT(On-line Object Tracking)는 컴퓨터 비전의 핵심 기술로 그 중요성이 급속도로 높아지고 있습니다. 이 기술은 배터리로 작동하는 제품에 활용되기 때문에 에너지 소비를 최소화해야 합니다. 본 문서에서는 해당 요구 사항을 충족하기 위한 적응형 프레임 속도 최적화 방법을 설명합니다. 이미지 캡처와 객체 추적 사이에는 에너지 균형이 발생합니다. 따라서 이 방법은 trade-off를 고려하면서 총 에너지를 최소화하기 위해 항상 변경되는 객체 속도를 기반으로 프레임 속도를 최적화합니다. 시뮬레이션 결과, 심각한 추적 정확도 저하 없이 최대 50.0%, 평균 35.9%의 에너지 감소를 보여줍니다.
Yusuke INOUE
Kyushu University
Takatsugu ONO
Kyushu University
Koji INOUE
Kyushu University
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부
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
부
@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},}
부
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 -