Improved vehicle speed estimation using Gaussian mixture model and hole filling algorithm

A. Nurhadiyatna, B. Hardjono, A. Wibisono, I. Sina, Wisnu Jatmiko, M. Anwar Ma'Sum, Petrus Mursanto

Research output: Contribution to conferencePaperpeer-review

16 Citations (Scopus)

Abstract

Vehicle speed estimation using Closed Circuit Television (CCTV) is one of the interesting issues in the field of computer vision. Various approaches are used to perform automation in vehicle speed estimation using CCTV. In this study, the use of Gaussian Mixture Model (GMM) for vehicle detection has been improved with the hole-filling method (HF). The speed estimation of the vehicles with various scenarios has been done, and gives the best estimation with the deviation of 7.63 Km/hr. GMM fusion with hole-filling algorithm combined with Pinhole models have shown the best results compared with results using other scenarios.

Original languageEnglish
Pages451-456
Number of pages6
DOIs
Publication statusPublished - 1 Jan 2013
Event2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia
Duration: 28 Sep 201329 Sep 2013

Conference

Conference2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013
CountryIndonesia
CityBali
Period28/09/1329/09/13

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