International Journal of Computational Intelligence Systems

Volume 1, Issue 4, December 2008, Pages 304 - 312

An Image Based Approach to Compute Object Distance

Authors
Ashfaqur Rahman, Abdus Salam, Mahfuzul Islam, Partha Sarker
Corresponding Author
Ashfaqur Rahman
Available Online 1 December 2008.
DOI
https://doi.org/10.2991/ijcis.2008.1.4.3How to use a DOI?
Keywords
depth detection, object tracking, image processing, artificial intelligence
Abstract
Computing object distance using image processing is an important research area in the field of computer vision and robot navigation applications. In this paper we have proposed a new method to compute the distance of an object using a single image. According to our observation there exists a relationship between the physical distance of an object and its pixel height. We exploit this relationship to train a system that finds a mapping between an object’s pixel height and physical distance. This mapping is then used to find the physical distance of test objects from the pixel height in the image. Experimental results demonstrate the capability of our proposed technique by estimating physical distance with accuracy as high as 98.76%.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 4
Pages
304 - 312
Publication Date
2008/12
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2008.1.4.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Ashfaqur Rahman
AU  - Abdus Salam
AU  - Mahfuzul Islam
AU  - Partha Sarker
PY  - 2008
DA  - 2008/12
TI  - An Image Based Approach to Compute Object Distance
JO  - International Journal of Computational Intelligence Systems
SP  - 304
EP  - 312
VL  - 1
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.4.3
DO  - https://doi.org/10.2991/ijcis.2008.1.4.3
ID  - Rahman2008
ER  -