High-speed and high-precision optical flow detection for real-time motion segmentation

Hiraku Ishiyama; Takayuki Okatani; Koichiro Deguchi

High-speed and high-precision optical flow detection for real-time motion segmentation

Hiraku Ishiyama, Takayuki Okatani, Koichiro Deguchi

INF - System Information Sciences

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

We implement the method of detecting high-speed and high-precision optical flow using the "linear-time optical flow" algorithm and the high-speed smart camera with which high frame rate images can be captured and image processing can be performed inside the camera. We performed motion segmentation using Minimum Spanning Tree which is very simple algorithm and enables real-time processing.

Original language	English
Pages	751-754
Number of pages	4
Publication status	Published - 2004 Dec 1
Event	SICE Annual Conference 2004 - Sapporo, Japan Duration: 2004 Aug 4 → 2004 Aug 6

Other

Other	SICE Annual Conference 2004
Country	Japan
City	Sapporo
Period	04/8/4 → 04/8/6

Keywords

Image processing
Optical flow
Real-time proseccing
Segmentation
Video processing

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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Cite this

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abstract = "We implement the method of detecting high-speed and high-precision optical flow using the {"}linear-time optical flow{"} algorithm and the high-speed smart camera with which high frame rate images can be captured and image processing can be performed inside the camera. We performed motion segmentation using Minimum Spanning Tree which is very simple algorithm and enables real-time processing.",

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AU - Ishiyama, Hiraku

AU - Okatani, Takayuki

AU - Deguchi, Koichiro

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Y1 - 2004/12/1

N2 - We implement the method of detecting high-speed and high-precision optical flow using the "linear-time optical flow" algorithm and the high-speed smart camera with which high frame rate images can be captured and image processing can be performed inside the camera. We performed motion segmentation using Minimum Spanning Tree which is very simple algorithm and enables real-time processing.

AB - We implement the method of detecting high-speed and high-precision optical flow using the "linear-time optical flow" algorithm and the high-speed smart camera with which high frame rate images can be captured and image processing can be performed inside the camera. We performed motion segmentation using Minimum Spanning Tree which is very simple algorithm and enables real-time processing.

KW - Image processing

KW - Optical flow

KW - Real-time proseccing

KW - Segmentation

KW - Video processing

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M3 - Paper

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Y2 - 4 August 2004 through 6 August 2004

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