Work

Moving Vehicle Classification Using Pixel Quantity Based on Gaussian Mixture Models

Year: 2018

Type: conference-paper

Source: International Conference on Computer and Communication Systems (ICCCS)

DOI: 10.1109/ccoms.2018.8463218

Authors: Bayu Charisma Putra, Budi Setiyono, Dwi Ratna Sulistyaningrum, Soetrisno, Imam Mukhlash

Institutions: Universitas Maarif Hasyim Latif, Institut Teknologi Sepuluh Nopember

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2890699358

FWCI: 0.226

Cites: 6

Cited by: 7

Related to: 10