Kitchen Scene Context based Gesture Recognition ICPR2012 Contest 1 - - PowerPoint PPT Presentation

kitchen scene context based gesture recognition
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Kitchen Scene Context based Gesture Recognition ICPR2012 Contest 1 - - PowerPoint PPT Presentation

Kitchen Scene Context based Gesture Recognition ICPR2012 Contest 1 Overview of the contest 2 Organizers Atsushi Shimada Kyushu University, Japan Kazuaki Kondo Kyoto University, Japan Daisuke Deguchi Nagoya University,


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Kitchen Scene Context based Gesture Recognition

ICPR2012 Contest

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Overview of the contest

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Organizers

  • Atsushi Shimada

– Kyushu University, Japan

  • Kazuaki Kondo

– Kyoto University, Japan

  • Daisuke Deguchi

– Nagoya University, Japan

  • Géraldine Morin

– IRIT-ENSEEIHT , France

  • Helman Stern

– Ben Gurion University of the Negev, Israel

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Special Thanks

  • Actors

– Tomo Asakura (Kyoto Univ.) – Keizaburo Takase (Kyoto Univ.) – Keisuke Yasuzawa (Kyoto Univ.) – Kenta Matsui (Kyoto Univ.) – Yusa Ko (Kyoto Univ.)

  • Illustrations

– Toshiki Sonoda (Kyushu Univ., KUCC)

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Contest Background

  • Can gesture recognition be achieved by

motion analysis alone?

  • Importance of

scene context for gesture recognition

– Strong relationship between action and situation surrounding an actor

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Subject

  • Gesture recognition in Kitchen

– Motion analysis – Recognition of ingredients, cooking tools, etc.

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Cooking Menus

  • ham and eggs
  • omelet
  • scrambled egg
  • boiled egg
  • Kinshi-tamago

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Contest Task

  • Label assignment to video frames

1 - breaking 2 - mixing 3 - baking 4 - turning 5 - cutting 6 - boiling 7 - seasoning 8 - pealing

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Dataset

  • RGBD video sequence

– Captured by Kinect @ 30fps

  • Each cooking

– 5-10 minute long (2,000 to 12,000 frames)

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Dataset

  • Five menus
  • Training set

– Five actors – Ground truth was given

  • Test set

– Two actors – Ground truth was NOT given

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Evaluation

  • F-measure

– Harmonic mean of Precision & Recall

  • For cooking menu
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Applications

  • 6 teams

– India – Singapore – Japan x 3 – Taiwan

  • Invitation

– 4 teams

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Evaluation Result

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0.2 0.4 0.6 0.8 1

Motion feature only

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Evaluation Result in Each Gesture

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0.2 0.4 0.6 0.8 1 ID‐01 ID‐02 ID‐03 ID‐04 ID‐05 Reference

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Awards ceremony

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Awards

  • Sponsored by SIG-CEA of HCG, IEICE,

Japan

– SIG-CEA

  • A study group of “Cooking and Eating Activities”
  • Researching “CEA” from viewpoint of

engineering, social and domestic science

  • Supporting/improving dietary life with

information media technology

– Activity

  • Domestic meeting: 4 times a year
  • International Workshop: once a year
  • CEA2009, 2010, 2011, 2012

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First Prize

  • Keisuke DOMAN, Chengying KUAI

– Chukyo University, Brother Industries, Ltd. – “Kitchen Scene Context based Gesture Recognition” Waterproof TV

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Second Prize

  • Tam V. Nguyen, Zheng Song, Manthan

Pancholi, Li Zhang, Shuicheng Yan

– National University of Singapore – “Context-aware Action Recognition in Kitchen Environment” Thermal mug Steam Roaster

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Honorable Mention

  • Shubham Bansal, Shubham Gupta,

Shubham Khandelwal, Dushyant Goyal

– The LNM Institute of Information Technology – “Kitchen Activity Recognition based on Scene Context” Microwave Egg Boiler

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Honorable Mention

  • Soichiro Hotta

– Mie University – GLAC feature with SVM for Kitchen Gesture Recognition Microwave Egg Boiler

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Results of Winners (Total)

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0.2 0.4 0.6 0.8 1

Doman et al. Nguyen et al. Bansal et al. Hotta et al.

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Results of Winners (Each Gesture)

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0.2 0.4 0.6 0.8 1 Doman et al. Nguyen et al. Bansal et al. Hotta et al.