Moving object proposal by grouping with motion feature

Teppei Suzuki; Shota Takayama; Sho Isobe; Makoto Masuda; Yoshimitsu Aoki

doi:10.2493/jjspe.83.151

Moving object proposal by grouping with motion feature

Teppei Suzuki, Shota Takayama, Sho Isobe, Makoto Masuda, Yoshimitsu Aoki

Department of Electronics and Electrical Engineering

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

Abstract

Recently, Object Recognition Is Improved Accuracy By Convolutional Neural Network(Cnn) And Growing Object Recognition Demand For Automatic Driving System And Security And So On. However, One Of The Problem Of Object Recognition Is To Extract Object Region Which Have Various Size, Scale And Form. This Paper Propose Moving Object Proposal For Object Recognition. Using Region Grouping And Scoring With Optical Flow, We Can Propose Object Proposal For Moving Objects. The Object Proposal Experiments Show Effective Results Compared With Previous Method On The Ucf Crowd Dataset.

Original language	English
Pages (from-to)	151-157
Number of pages	7
Journal	Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Volume	83
Issue number	2
DOIs	https://doi.org/10.2493/jjspe.83.151
Publication status	Published - 2017

Keywords

Dense crowd
Object Proposal
Object Recognition
Optical Flow
Segmentation

ASJC Scopus subject areas

Mechanical Engineering

Access to Document

10.2493/jjspe.83.151

Cite this

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title = "Moving object proposal by grouping with motion feature",

abstract = "Recently, Object Recognition Is Improved Accuracy By Convolutional Neural Network(Cnn) And Growing Object Recognition Demand For Automatic Driving System And Security And So On. However, One Of The Problem Of Object Recognition Is To Extract Object Region Which Have Various Size, Scale And Form. This Paper Propose Moving Object Proposal For Object Recognition. Using Region Grouping And Scoring With Optical Flow, We Can Propose Object Proposal For Moving Objects. The Object Proposal Experiments Show Effective Results Compared With Previous Method On The Ucf Crowd Dataset.",

keywords = "Dense crowd, Object Proposal, Object Recognition, Optical Flow, Segmentation",

author = "Teppei Suzuki and Shota Takayama and Sho Isobe and Makoto Masuda and Yoshimitsu Aoki",

year = "2017",

doi = "10.2493/jjspe.83.151",

language = "English",

volume = "83",

pages = "151--157",

journal = "Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering",

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TY - JOUR

T1 - Moving object proposal by grouping with motion feature

AU - Suzuki, Teppei

AU - Takayama, Shota

AU - Isobe, Sho

AU - Masuda, Makoto

AU - Aoki, Yoshimitsu

PY - 2017

Y1 - 2017

N2 - Recently, Object Recognition Is Improved Accuracy By Convolutional Neural Network(Cnn) And Growing Object Recognition Demand For Automatic Driving System And Security And So On. However, One Of The Problem Of Object Recognition Is To Extract Object Region Which Have Various Size, Scale And Form. This Paper Propose Moving Object Proposal For Object Recognition. Using Region Grouping And Scoring With Optical Flow, We Can Propose Object Proposal For Moving Objects. The Object Proposal Experiments Show Effective Results Compared With Previous Method On The Ucf Crowd Dataset.

AB - Recently, Object Recognition Is Improved Accuracy By Convolutional Neural Network(Cnn) And Growing Object Recognition Demand For Automatic Driving System And Security And So On. However, One Of The Problem Of Object Recognition Is To Extract Object Region Which Have Various Size, Scale And Form. This Paper Propose Moving Object Proposal For Object Recognition. Using Region Grouping And Scoring With Optical Flow, We Can Propose Object Proposal For Moving Objects. The Object Proposal Experiments Show Effective Results Compared With Previous Method On The Ucf Crowd Dataset.

KW - Dense crowd

KW - Object Proposal

KW - Object Recognition

KW - Optical Flow

KW - Segmentation

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JO - Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering

JF - Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering

IS - 2

ER -

Moving object proposal by grouping with motion feature

Abstract

Keywords

ASJC Scopus subject areas

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