Distance measurement of objects using stereo vision

Mohammad Mozammel Hoque Chowdhury; Junbin Gao; MD Rafiqul Islam

doi:10.1145/2903220.2903247

Distance measurement of objects using stereo vision

Mohammad Mozammel Hoque Chowdhury, Junbin Gao, MD Rafiqul Islam

Research output: Book chapter/Published conference paper › Conference paper › peer-review

3 Citations (Scopus)

Abstract

Vision based distance measurement of objects is continues to be a popular research topic in computer and robot vision nowadays. Measuring distance of targets are important for robot navigation, obstacle detection, navigation of autonomous vehicles, surveillance monitoring, person localization and tracking, and many more. In this paper, we propose an efficient approach for distance measurement of objects using stereo vision. The distance is measured from the estimated depth information of the object from its two image sequences (called left and right image pair) captured by a stereo camera. In order to estimate the depth information we employ a fast stereo algorithm. Experimental evaluation proves the efficiency of our proposed approach comparable to other related methods.

Original language	English
Title of host publication	SETN2016
Subtitle of host publication	Proceedings of the 9th Hellenic Conference on Artificial Intelligence
Place of Publication	New York, NY
Publisher	ACM International Conference Proceedings Series
Pages	1-4
Number of pages	4
ISBN (Print)	9781450337342
DOIs	https://doi.org/10.1145/2903220.2903247
Publication status	Published - 2016
Event	Hellenic Conference on Artificial Intelligence - Thessaloniki, Greece, Greece Duration: 18 May 2016 → 20 May 2016

Conference

Conference	Hellenic Conference on Artificial Intelligence
Country/Territory	Greece
Period	18/05/16 → 20/05/16

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10.1145/2903220.2903247

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@inproceedings{7086ab89dbe64457a4a289385167cb87,

title = "Distance measurement of objects using stereo vision",

abstract = "Vision based distance measurement of objects is continues to be a popular research topic in computer and robot vision nowadays. Measuring distance of targets are important for robot navigation, obstacle detection, navigation of autonomous vehicles, surveillance monitoring, person localization and tracking, and many more. In this paper, we propose an efficient approach for distance measurement of objects using stereo vision. The distance is measured from the estimated depth information of the object from its two image sequences (called left and right image pair) captured by a stereo camera. In order to estimate the depth information we employ a fast stereo algorithm. Experimental evaluation proves the efficiency of our proposed approach comparable to other related methods.",

author = "Chowdhury, {Mohammad Mozammel Hoque} and Junbin Gao and Islam, {MD Rafiqul}",

year = "2016",

doi = "10.1145/2903220.2903247",

language = "English",

isbn = "9781450337342",

pages = "1--4",

booktitle = "SETN2016",

publisher = "ACM International Conference Proceedings Series",

note = "Hellenic Conference on Artificial Intelligence ; Conference date: 18-05-2016 Through 20-05-2016",

}

Distance measurement of objects using stereo vision. / Chowdhury, Mohammad Mozammel Hoque; Gao, Junbin; Islam, MD Rafiqul.
SETN2016: Proceedings of the 9th Hellenic Conference on Artificial Intelligence. New York, NY: ACM International Conference Proceedings Series, 2016. p. 1-4 33.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Distance measurement of objects using stereo vision

AU - Chowdhury, Mohammad Mozammel Hoque

AU - Gao, Junbin

AU - Islam, MD Rafiqul

PY - 2016

Y1 - 2016

N2 - Vision based distance measurement of objects is continues to be a popular research topic in computer and robot vision nowadays. Measuring distance of targets are important for robot navigation, obstacle detection, navigation of autonomous vehicles, surveillance monitoring, person localization and tracking, and many more. In this paper, we propose an efficient approach for distance measurement of objects using stereo vision. The distance is measured from the estimated depth information of the object from its two image sequences (called left and right image pair) captured by a stereo camera. In order to estimate the depth information we employ a fast stereo algorithm. Experimental evaluation proves the efficiency of our proposed approach comparable to other related methods.

AB - Vision based distance measurement of objects is continues to be a popular research topic in computer and robot vision nowadays. Measuring distance of targets are important for robot navigation, obstacle detection, navigation of autonomous vehicles, surveillance monitoring, person localization and tracking, and many more. In this paper, we propose an efficient approach for distance measurement of objects using stereo vision. The distance is measured from the estimated depth information of the object from its two image sequences (called left and right image pair) captured by a stereo camera. In order to estimate the depth information we employ a fast stereo algorithm. Experimental evaluation proves the efficiency of our proposed approach comparable to other related methods.

U2 - 10.1145/2903220.2903247

DO - 10.1145/2903220.2903247

M3 - Conference paper

SN - 9781450337342

SP - 1

EP - 4

BT - SETN2016

PB - ACM International Conference Proceedings Series

CY - New York, NY

T2 - Hellenic Conference on Artificial Intelligence

Y2 - 18 May 2016 through 20 May 2016

ER -

Distance measurement of objects using stereo vision

Abstract

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