A Vision-Based Detection and Tracking Algorithm for a Child Monitoring Robot

John Anthony C. Jose, Justine Veronica Basco, Jomar Kenneth Jolo, Patrick Kenneth Yambao, M. Cabatuan, A. Bandala, Jose Martin Z. Maningo, E. Dadios
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引用次数: 2

Abstract

Accidents have been found to be one of the leading causes of both fatal and non-fatal injuries to children. Though some accidents that occur are often unavoidable, more often than not these injuries can be prevented by giving the child proper attention. The researchers intend to address certain gaps in stationary monitoring solutions by adding abilities such as an insured way of continuously monitoring the test subject and a real time notification feature to a mobile spherical robot. This research presents the software division of a technological solution to child monitoring by developing a computer vision algorithm for following and monitoring children indoors utilizing an RGB-D camera. This algorithm will work hand in hand with a hardware design of a spherical robot that utilizes microcontrollers, RFID technology and GSM system. An Android application will also be created to provide the users the means of manually overriding the spherical robot, color calibration and location indicator as a part of the robot’s notification system. The detection and tracking ability of the algorithm is tested by using objects with varying characteristics. The autonomous navigation testing of the robot is performed at two controlled test setups: living room and child’s playroom.
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一种基于视觉的儿童监控机器人检测与跟踪算法
事故已被发现是儿童致命和非致命伤害的主要原因之一。虽然有些事故的发生往往是不可避免的,但通过给予孩子适当的关注,这些伤害往往是可以避免的。研究人员打算通过增加固定监测解决方案的某些缺陷,例如持续监测测试对象的保险方式和移动球形机器人的实时通知功能。本研究通过开发一种利用RGB-D相机跟踪和监控室内儿童的计算机视觉算法,提出了儿童监控技术解决方案的软件划分。该算法将与利用微控制器、RFID技术和GSM系统的球形机器人硬件设计携手工作。一个Android应用程序也将被创建,为用户提供手动覆盖球形机器人的方法,颜色校准和位置指示器作为机器人通知系统的一部分。通过对具有不同特征的目标进行检测和跟踪,测试了算法的检测和跟踪能力。机器人的自主导航测试在两个受控的测试环境中进行:客厅和儿童游戏室。
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