Determining direction of moving object using object tracking for smart weelchair controller

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Fitri Utaminingrum, Ali Fauzi, Dahnial Syauqy, Randy Cahya, Anggi Gustiningsih Hapsani

2017 5th International Symposium on Computational and Business Intelligence, ISCBI 2017 Conference paper Cited by 4 Quartile

Abstract

People with disabilities who cannot move their whole body need other people to control the smart wheelchair or track the moving of object interest, in this case people. In this paper, we have proposed new movement controller of smart wheelchair using object tracking for disabled people who cannot move their whole body. The proposed method for determining direction of moving object using object tracking has been evaluated using invariant video. Our result study have success rate of multiple object detection is 82.01%, tracking object interest is 90.00%, and determining the moving object directions is 79.63%. © 2017 IEEE.

Affiliations

Computer Vision Research Group, Computer Science, Brawijaya University, Malang, Indonesia