Vehicle pose estimation for vehicle detection and tracking based on road direction

Murinto, Murinto and Prahara, Adhi and Azhari, Ahmad (2017) Vehicle pose estimation for vehicle detection and tracking based on road direction. [Artikel Dosen]

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Abstract

Vehicle has several types and each of them has different color, size,
and shape. The appearance of vehicle also changes if viewed from
different viewpoint of traffic surveillance camera. This situation can
create many possibilities of vehicle poses. However, the one in
common, vehicle pose usually follows road direction. Therefore, this
research proposes a method to estimate the pose of vehicle for vehicle
detection and tracking based on road direction. Vehicle training data
are generated from 3D vehicle models in four-pair orientation
categories. Histogram of Oriented Gradients (HOG) and Linear�Support Vector Machine (Linear-SVM) are used to build vehicle
detectors from the data. Road area is extracted from traffic
surveillance image to localize the detection area. The pose of vehicle
which estimated based on road direction will be used to select a
suitable vehicle detector for vehicle detection process. To obtain the
final vehicle object, vehicle line checking method is applied to the
vehicle detection result. Finally, vehicle tracking is performed to give
label on each vehicle. The test conducted on various viewpoints of
traffic surveillance camera shows that the method effectively detects
and tracks vehicle by estimating the pose of vehicle. Performance
evaluation of the proposed method shows 0.9170 of accuracy and
0.9161 of balance accuracy (BAC).

Item Type:	Artikel Dosen
Keyword:	Vehicle pose Road detection Road direction Vehicle detection Vehicle tracking
Subjects:	Q Science > Q Science (General)
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika)
Depositing User:	murinto murinto
Date Deposited:	18 Apr 2023 09:49
Last Modified:	23 Sep 2023 06:20
URI:	http://eprints.uad.ac.id/id/eprint/43016

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