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
Penjejakan objek dalam talian (OLOT) telah menjadi teknologi teras dalam penglihatan komputer, dan kepentingannya telah meningkat dengan pesat. Oleh kerana teknologi ini digunakan untuk produk yang dikendalikan oleh bateri, penggunaan tenaga mesti diminimumkan. Makalah ini menerangkan kaedah pengoptimuman kadar bingkai penyesuaian untuk memenuhi keperluan tersebut. Pertukaran tenaga berlaku antara penangkapan imej dan penjejakan objek. Oleh itu, kaedah mengoptimumkan kadar bingkai berdasarkan kelajuan objek yang sentiasa berubah untuk meminimumkan jumlah tenaga sambil mengambil kira pertukaran. Keputusan simulasi menunjukkan pengurangan tenaga maksimum sebanyak 50.0% dan purata pengurangan sebanyak 35.9% tanpa kemerosotan ketepatan penjejakan yang serius.
Yusuke INOUE
Kyushu University
Takatsugu ONO
Kyushu University
Koji INOUE
Kyushu University
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Salinan
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
Salinan
@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},}
Salinan
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 -