TITLE:
Simultaneous Children Recognition and Tracking for Childcare Assisting System by Using Kinect Sensors
AUTHORS:
Bin Zhang, Tomoaki Nakamura, Rena Ushiogi, Takayuki Nagai, Kasumi Abe, Takashi Omori, Natsuki Oka, Masahide Kaneko
KEYWORDS:
Childcare Assisting System, Children Tracking, Children Recognition, MCMC Particle Filter
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.7 No.3,
August
5,
2016
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.