Kitchen Scene Context based Gesture Recognition
ICPR2012 Contest
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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,
ICPR2012 Contest
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– Kyushu University, Japan
– Kyoto University, Japan
– Nagoya University, Japan
– IRIT-ENSEEIHT , France
– Ben Gurion University of the Negev, Israel
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– Tomo Asakura (Kyoto Univ.) – Keizaburo Takase (Kyoto Univ.) – Keisuke Yasuzawa (Kyoto Univ.) – Kenta Matsui (Kyoto Univ.) – Yusa Ko (Kyoto Univ.)
– Toshiki Sonoda (Kyushu Univ., KUCC)
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motion analysis alone?
scene context for gesture recognition
– Strong relationship between action and situation surrounding an actor
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– Motion analysis – Recognition of ingredients, cooking tools, etc.
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1 - breaking 2 - mixing 3 - baking 4 - turning 5 - cutting 6 - boiling 7 - seasoning 8 - pealing
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– Captured by Kinect @ 30fps
– 5-10 minute long (2,000 to 12,000 frames)
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– Five actors – Ground truth was given
– Two actors – Ground truth was NOT given
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– Harmonic mean of Precision & Recall
– India – Singapore – Japan x 3 – Taiwan
– 4 teams
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0.2 0.4 0.6 0.8 1
Motion feature only
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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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Japan
– SIG-CEA
engineering, social and domestic science
information media technology
– Activity
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– Chukyo University, Brother Industries, Ltd. – “Kitchen Scene Context based Gesture Recognition” Waterproof TV
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Pancholi, Li Zhang, Shuicheng Yan
– National University of Singapore – “Context-aware Action Recognition in Kitchen Environment” Thermal mug Steam Roaster
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Shubham Khandelwal, Dushyant Goyal
– The LNM Institute of Information Technology – “Kitchen Activity Recognition based on Scene Context” Microwave Egg Boiler
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– Mie University – GLAC feature with SVM for Kitchen Gesture Recognition Microwave Egg Boiler
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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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0.2 0.4 0.6 0.8 1 Doman et al. Nguyen et al. Bansal et al. Hotta et al.