Vehicle Detection using Dimensionality Reduction based on Deep Belief Network for Intelligent Transportation System

Dewa Made Sri Arsa, Grafika Jati, Muhammad Soleh, Wisnu Jatmiko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Vehicle detection is one of essential technology on Intelligent Transportation System. By detect the vehicle, we may know the presence and the number of vehicles on the road for some intervals of time. The challenge is the high dimensionality of features to represent a vehicle. To detect the vehicle, there are two processes, feature extraction and classification. The high dimensionality feature, which is produced on feature extraction step, make a heavy computation on the classification step. This research proposed a dimensionality reduction using Deep Belief Network (DBN) for vehicle detection. We try to detect cars and motorcycles. The feature extraction method is based on descriptive methods such as scaled invariant feature transform. DBN is used to reduce the high dimensionality features that is produced by descriptive methods. For classification task, we choose Support Vector Machine method. Moreover, UIUC dataset and our original data are chose to evaluate the proposed method performance. We are also compared DBN with Principal Component Analysis (PCA) and other method. The result indicates that using DBN as dimensionality reduction method performed better than PCA and others method in vehicle detection.

Original languageEnglish
Title of host publication6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-58
Number of pages6
ISBN (Electronic)9781538616239
DOIs
Publication statusPublished - 26 Nov 2018
Event6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017 - Bali, Indonesia
Duration: 24 Jul 201727 Jul 2017

Publication series

Name6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017 - Proceedings

Conference

Conference6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017
CountryIndonesia
CityBali
Period24/07/1727/07/17

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