Moving object proposal by grouping with motion feature

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

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)151-157
Number of pages7
JournalSeimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Volume83
Issue number2
DOIs
Publication statusPublished - 2017

Keywords

  • Dense crowd
  • Object Proposal
  • Object Recognition
  • Optical Flow
  • Segmentation

ASJC Scopus subject areas

  • Mechanical Engineering

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