| Autor: |
Utaminingrum, Fitri, Sari, Yuita Arum, Adikara, Putra Pandu, Syauqy, Dahnial, Adinugroho, Sigit |
| Předmět: |
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| Zdroj: |
Telkomnika; Aug2018, Vol. 16 Issue 4, p1616-1624, 9p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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