GDL

Journal from gdlhub / 2018-07-26 10:05:15
Oleh : Fitri Utaminingrum, Yuita Arum Sari, Putra Pandu Adikara, Dahnial Syauqy, Sigit Adinugroho, Telkomnika
Dibuat : 2018-07-26, dengan 1 file

Keyword : head; detecting; tracking
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/6595
Sumber pengambilan dokumen : WEB

Disability may limit someone to move freely, especially when the severity of the disability is high. In order to help disabled people control their wheelchair, head movement-based control is preferred due to its reliability. This paper proposed a head direction detector framework which can be applied to wheelchair control. First, face and nose were detected from a video frame using Haar cascade classfier. Then, the detected bounding boxes were used to initialize Kernelized Correlation Filters tracker. Direction of a head was determined by relative position of the nose to the face, extracted from tracker’s bounding boxes. Results show that the method effectively detect head direction indicated by 82% accuracy and very low detection or tracking failure.

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