Inderscience

International Journal of Computational Vision and Robotics Template

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About the International Journal of Computational Vision and Robotics format

International Journal of Computational Vision and Robotics is a peer-reviewed journal published by Inderscience, covering Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques, Video Surveillance and Tracking Methods.

PublisherInderscience
Reference styleAuthor–year (Harvard/AGSM)
Author–year — (Smith, 2023) in the text
Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Computational Vision and Robotics, 12(3), pp. 45–58.

Formats any DOI in International Journal of Computational Vision and Robotics style. No sign-up.

Publishes research inImage Retrieval and Classification Techniques Advanced Image and Video Retrieval Techniques Video Surveillance and Tracking Methods Face and Expression Recognition Vehicle License Plate Recognition
ISSN1752-9131
Citation impact (2-yr)0.5
h-index20
i10-index54
Total citations2,281
Top institutions publishing hereHansung University
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in International Journal of Computational Vision and Robotics per year

22
2014
38
2015
44
2016
83
2017
72
2018
70
2019
85
2020
81
2021
105
2022
56
2023
145
2024
63
2025

Citation impact of International Journal of Computational Vision and Robotics by publication year

127
2014
129
2015
97
2016
340
2017
148
2018
185
2019
238
2020
138
2021
174
2022
74
2023
99
2024
10
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in International Journal of Computational Vision and Robotics

Computer vision for fruit harvesting robots state of the art and challenges ahead

Keren Kapach, Ehud Barnea, Rotem Mairon et al. · 1 Jan 2012

Despite extensive research conducted in machine vision for harvesting robots, practical success in this field of agrobotics is still limited. This article presents a comprehensive review of classical and state-of-the-art machine vision solutions employed in such systems, with special emphasis on the visual cues and machine vision algorithms used. We discuss the advantages and limitations…

A review and an approach for object detection in images

Kartik Umesh Sharma, Nileshsingh V. Thakur · 1 Jan 2017

An object detection system finds objects of the real world present either in a digital image or a video, where the object can belong to any class of objects namely humans, cars, etc. In order to detect an object in an image or a video the system needs to have a few components in order…

Machine learning approaches for early detection and management of musculoskeletal conditions

Pawan Whig, Ebtesam Shadadi, Shama Kouser et al. · 3 Dec 2024

Musculoskeletal conditions have a significant impact on quality of life.This study explores the use of machine learning algorithms for early detection and management of such conditions.Different models were evaluated using a dataset of musculoskeletal images and clinical information.Results demonstrate accurate classification with high sensitivity and specificity.A neural network was developed for detecting chronic lower back…

GLCM-based chi-square histogram distance for automatic detection of defects on patterned textures

V Asha, Nagappa U. Bhajantri, P. Nagabhushan · 1 Jan 2011

Chi–square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second–order statistics, we make use of histogram of grey level co–occurrence matrix (GLCM) that is based on second–order statistics and propose a…

An IoT-based smart parking management system

Inhwan Jung · 1 Jan 2020

In this paper, the author implemented smart parking information management system based on IoT using ultrasonic parking sensor and Bluetooth beacon. Ultrasonic IoT sensors used for parking sensing are controlled by the Arduino board to collect parking sensing data, and the collected parking information is transmitted to the server in real time using the MQTT…

International Journal of Computational Vision and Robotics template — frequently asked questions

How do I write a paper in the International Journal of Computational Vision and Robotics format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the International Journal of Computational Vision and Robotics template. When you export, DocuGuru compiles the paper into the official Inderscience format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does International Journal of Computational Vision and Robotics use?
International Journal of Computational Vision and Robotics uses Author–year (Harvard/AGSM) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Journal of Computational Vision and Robotics, 12(3), pp. 45–58.
Do I need to know LaTeX to submit to International Journal of Computational Vision and Robotics?
No. DocuGuru generates the singlecol-new LaTeX class and compiles the PDF for you in the background, so you get a Inderscience-ready International Journal of Computational Vision and Robotics document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the International Journal of Computational Vision and Robotics template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the International Journal of Computational Vision and Robotics format with correct headings, figures, tables, and author–year citations.
Who publishes International Journal of Computational Vision and Robotics?
International Journal of Computational Vision and Robotics is a engineering and computer science journal published by Inderscience. DocuGuru's International Journal of Computational Vision and Robotics template matches Inderscience's official submission format.
Can I export a submission-ready International Journal of Computational Vision and Robotics PDF?
Yes — DocuGuru produces a PDF built with the official International Journal of Computational Vision and Robotics template (the singlecol-new class) that is ready to submit to Inderscience, together with the matching LaTeX source files.
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