Real-Time frame-rate control for energy-efficient on-line object tracking

Yusuke Inoue; Takatsugu Ono; Koji Inoue

doi:10.1587/transfun.E101.A.2297

Real-Time frame-rate control for energy-efficient on-line object tracking

Research output: Contribution to journal › Article › peer-review

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	https://doi.org/10.1587/transfun.E101.A.2297
Publication status	Published - Dec 2018

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Applied Mathematics

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title = "Real-Time frame-rate control for energy-efficient on-line 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",

note = "Funding Information: This research was supported in part by JSPS KAKENHI Grant Number JP16H02796 and JP16K16027.",

year = "2018",

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doi = "10.1587/transfun.E101.A.2297",

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AU - Inoue, Yusuke

AU - Ono, Takatsugu

AU - Inoue, Koji

N1 - Funding Information: This research was supported in part by JSPS KAKENHI Grant Number JP16H02796 and JP16K16027.

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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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