An active vision approach to height estimation with optical flow

Sotirios Ch Diamantas, Prithviraj Dasgupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this research we propose a prudent method for estimating the principal point of a camera with a means of active vision and, in particular, by varying the focal length of a camera and applying optical flow with the aim to estimate the height of the objects. In our method only one parameter is known, namely the height of the camera from the ground. No reference objects or points are used in the real environment nor any calibration of the camera has been employed. The known camera height is projected in the image plane, that is, from the principal point to the ground and is used as a reference to estimate the height of objects. Our results show that our method for estimating both the principal point and the height of the objects is parsimonious yet effective.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings
Pages160-170
Number of pages11
EditionPART 1
DOIs
StatePublished - Nov 29 2013
Event9th International Symposium on Advances in Visual Computing, ISVC 2013 - Rethymnon, Crete, Greece
Duration: Jul 29 2013Jul 31 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8033 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Symposium on Advances in Visual Computing, ISVC 2013
CountryGreece
CityRethymnon, Crete
Period7/29/137/31/13

Fingerprint

Active Vision
Optical flows
Optical Flow
Principal Points
Camera
Cameras
Estimate
Calibration
Object

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Diamantas, S. C., & Dasgupta, P. (2013). An active vision approach to height estimation with optical flow. In Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings (PART 1 ed., pp. 160-170). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8033 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-41914-0_17

An active vision approach to height estimation with optical flow. / Diamantas, Sotirios Ch; Dasgupta, Prithviraj.

Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 1. ed. 2013. p. 160-170 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8033 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diamantas, SC & Dasgupta, P 2013, An active vision approach to height estimation with optical flow. in Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8033 LNCS, pp. 160-170, 9th International Symposium on Advances in Visual Computing, ISVC 2013, Rethymnon, Crete, Greece, 7/29/13. https://doi.org/10.1007/978-3-642-41914-0_17
Diamantas SC, Dasgupta P. An active vision approach to height estimation with optical flow. In Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 1 ed. 2013. p. 160-170. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-41914-0_17
Diamantas, Sotirios Ch ; Dasgupta, Prithviraj. / An active vision approach to height estimation with optical flow. Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings. PART 1. ed. 2013. pp. 160-170 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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