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Simultaneous Children Recognition and Tracking for Childcare Assisting System by Using Kinect Sensors
Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
Faculty of Home Economics, Otsuma Women’s University, Tokyo, Japan
Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
Department of Intelligent Mechanical Systems, Tamagawa University, Tokyo, Japan
Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan
Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
- 1 Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
- 2 Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
- 3 Faculty of Home Economics, Otsuma Women’s University, Tokyo, Japan
- 4 Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
- 5 Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
- 6 Department of Intelligent Mechanical Systems, Tamagawa University, Tokyo, Japan
- 7 Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan
- 8 Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Tokyo, Japan
Journal of Signal and Information Processing·Volume 07 (2016)·Pages 148–159·Published 18 July 2016·DOI10.4236/jsip.2016.73015
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Abstract
Developing a childcare assisting system is highly necessary due to the lack of nursery teachers, and it will make an important progress on effective utilization of nursery teacher resources. In this paper, we proposed simultaneous children recognition and tracking system by using Kinect sensors for the childcare assisting system to provide information for the nursery teachers. Each of the children is recognized by integrating his/her personal information of color, face and motion. The tracking problem is modeled as finding the MAP solution of a posterior probability, and is solved by using Markov Chain Monte Carlo (MCMC) particle filter. Our system can recognize and robustly track each child during class activities. Trajectories, motion ranges and relative distances information can be provided for the nursery teachers to assist their childcare work. The effectiveness of our system is proved through continuous monitoring of the children in a nursery school.
KeywordsChildcare Assisting SystemChildren TrackingChildren RecognitionMCMC Particle Filter
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