Romli, Achmad (2017) Pengukuran Kecepatan Kendaraan Menggunakan Optical Flow. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Berdasarkan Undang-Undang Nomor 22 Tahun 2009 tentang Lalu Lintas dan Angkutan JalanPasal 287 ayat 5, setiap pengendara yang melanggar aturan batas kecepatan paling tinggi atau paling rendah akan dipidana. Upaya-upaya telah dilakukan untuk mengamati kecepatan kendaraan.Diantaranya pengukuran kecepatan kendaraan berbasis pengolahan citra digital.Pada Tugas Akhir ini pengukuran kecepatan kendaraannya akan memanfaatkan metode optical flow. Objek dari penelitian ini adalah video rekaman kendaraan di jalan raya.Pengukuran kecepatan kendaraan dilakukan beberapa langkah, yaitu; menentukan skala perbandingan, memilih area, memproses area terpilih dengan metodeImproved Three Frame Difference, menghitung nilaioptical flow dari objek pada area, dan menghitung kecepatan dari objek yang diperoleh dari nilai optical flow objek dikalikan dengan skala perbandingan. Dari uji coba yang sudah dilakukan didapatkan hasil bahwa metodeoptical flowHorn-Schunck mampu mendeteksi kecepatan kendaraan dengan tingkat akurasi paling tinggi 89,37%.
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Based on Law Number 22 Year 2009 on Road Tr
affic and
Transportation Clause 287 verse
5, every rider who violates
the rules of the maximum speed limit or the lowest shall be
punished.
Attempts have been ma
de to observe the speed of the
vehicle. Among the measurement of vehicle speed based digital
image processing.
In this Final Project measurement of vehicle
speed will utilize optical flow method. The object of this
research is the video recording of vehicl
es on the highway.
Vehicle speed measurements performed several steps, namely;
Determine the comparison scale, select the area, process the
selected area by the Improved Three Frame Difference method,
calculate the optical flow value of the object in the a
rea, and
calculate the velocity of the object obtained from the optical
flow value of the object multiplied by the comparison scale.
From the experiments that have been done the results obtained
that the method of optical flow Horn
-
Schunck able to detect t
he
speed of the vehicle wi
th the highest accuracy of 89,37
%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Optical flow, Improved Three Frame Difference, Speed Detection. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP |
| Divisions: | Faculty of Mathematics and Science > Mathematics > 44201-(S1) Undergraduate Thesis |
| Depositing User: | Romli Achmad |
| Date Deposited: | 12 Jan 2018 02:23 |
| Last Modified: | 05 Mar 2019 06:17 |
| URI: | http://repository.its.ac.id/id/eprint/48200 |
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