Deteksi Jenis Kendaraan di Jalan Menggunakan OpenCV

Alvin Lazaro, Joko Lianto Buliali, Bilqis Amaliah
Submission Date: 2017-07-13 11:44:52
Accepted Date: 2018-01-09 21:27:31

Abstract


Jenis kendaraan yang melewati suatu ruas jalan dapat diketahui secara komputasi dengan mencocokkan fitur kendaran yang terdeteksi dengan fitur kendaraan standar masing-masing jeniskendaraan. Dengan mencapture frame image yang memuat kendaraan di jalan, OpenCV dapat mencocokkan fitur kendaraan tersebut dengan fitur kendaraan standar masing-masing jeniskendaraan, sehingga jenis kendaraan pada frame image dapat diketahui.

Keywords


Cascade; Classifier; Jenis kendaraan; Haar-like feature; OpenCV

References


Intel Corporation, "OpenCV," Itseez, June 2000. [Online]. Available: http://opencv.org/. [Accessed 4 December 2016].

Intel Corporation, "OpenCV," Itseez, June 2000. [Online]. Available: http://opencv.org/platforms/. [Accessed 5 December 2016].

P. Viola and M. Jones, "Rapid Object Detection using A Boosted Cascade of Simple Features," in Conference on Computer Vision and Pattern Recognition CVPR 2001, Hawaii, 2001.

P. Viola and M. J. Jones, "Robust Real-time Face Detection," International Journal of Computer Vision, vol. 57, no. 2, pp. 137-154, 2004.

R. Lienhart and J. Maydt, "An Extended Set of Haar-like Features for Rapid Object Detection," in International Conference on Image Processing 2002, New York, 2002.

Office for Mathematics, Science, and Technology Education University of Illinois, "Mean Square Error," Office for Mathematics, Science, and Technology Education (MSTE), Champaign, 2004.

C. Papageorgiou and T. Poggio, "A Trainable System for Object Detection," International Journal of Computer Vision, vol. 38, no. 1, pp. 15-33, 2000.

V. K. Narayanan, "Vision Based Robust Vehicle Detection and Tracking VIA Active Learning," University of Florida, Gainesville, 2013.

Badan Pengembangan dan Pembinaan Bahasa, "KBBI Daring," Kementerian Pendidikan dan Kebudayaan Indonesia, 2016. [Online]. Available: https://kbbi.kemdikbud.go.id/entri/kendaraan. [Accessed 9 May 2017].

M. Oliveira and V. Santos, "Automatic Detection of Cars in Real Roads using Haar-like Features," Department of Mechanical Engineering, University of Aveiro, vol. 3810, 2008.

S. Han, Y. Han and H. Hahn, "Vehicle Detection Method using Haar-like Feature on Real Time System," World Academy of Science, Engineering and Technology, vol. 59, pp. 455-459, 2009.

S. Sivaraman and M. M. Trivedi, "A General Active-Learning Framework for on-road Vehicle Recognition and Tracking," IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 2, pp. 267-276, 2010.

T. Ball, "Coding Robin," Coding Robin, 22 July 2013. [Online]. Available: http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html. [Accessed 23 May 2017].


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