Estimation of velocities via optical flow

T A Popov; A. Miller; B. Miller; K. Stepanyan

doi:10.1117/12.2266365

Estimation of velocities via optical flow

T A Popov, A. Miller, B. Miller, K. Stepanyan

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

5 Citations (Scopus)

Abstract

This article presents an approach to the optical flow (OF) usage as a general navigation means providing the information about the linear and angular vehicle's velocities. The term of "OF" came from opto-electronic devices where it corresponds to a video sequence of images related to the camera motion either over static surfaces or set of objects. Even if the positions of these objects are unknown in advance, one can estimate the camera motion provided just by video sequence itself and some metric information, such as distance between the objects or the range to the surface. This approach is applicable to any passive observation system which is able to produce a sequence of images, such as radio locator or sonar. Here the UAV application of the OF is considered since it is historically.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Subtitle of host publication	2016 International Conference on Robotics and Machine Vision, ICRMV 2016; Moscow; Russian Federation; 14 September 2016 through 16 September 2016
Editors	Alexander V Bernstein, Adrian Olaru, Jianhong Zhou
Place of Publication	Bellingham WA USA
Publisher	SPIE
Number of pages	5
Volume	10253
ISBN (Electronic)	9781510610088
ISBN (Print)	9781510610071
DOIs	https://doi.org/10.1117/12.2266365
Publication status	Published - 8 Feb 2017
Externally published	Yes
Event	International Conference on Robotics and Machine Vision, 2016 - Moscow, Russian Federation Duration: 14 Sep 2016 → 16 Sep 2016 http://www.icrmv.org/icrmv_2016.html

Publication series

Name	Proceedings of SPIE
Publisher	SPIE
Volume	10253
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	International Conference on Robotics and Machine Vision, 2016
Abbreviated title	ICRMV 2016
Country/Territory	Russian Federation
City	Moscow
Period	14/09/16 → 16/09/16
Other	The first edition of International Conference on Robotics and Machine Vision (ICRMV 2016), was held on September 14-16, 2016 in Moscow, Russia. It aims to be a premier Robotics and Machine Vision conference, to provide a platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, experiences and concerns in the field of Robotics and Machine
Internet address	http://www.icrmv.org/icrmv_2016.html

Keywords

attitude's velocities estimation
field of image velocities
Lucas-Kanade algorithm
Optical ow

Access to Document

10.1117/12.2266365

Cite this

Popov, T. A., Miller, A., Miller, B., & Stepanyan, K. (2017). Estimation of velocities via optical flow. In A. V. Bernstein, A. Olaru, & J. Zhou (Eds.), Proceedings of SPIE - The International Society for Optical Engineering: 2016 International Conference on Robotics and Machine Vision, ICRMV 2016; Moscow; Russian Federation; 14 September 2016 through 16 September 2016 (Vol. 10253). [1025303] (Proceedings of SPIE; Vol. 10253). SPIE. https://doi.org/10.1117/12.2266365

Popov, T A ; Miller, A. ; Miller, B. et al. / Estimation of velocities via optical flow. Proceedings of SPIE - The International Society for Optical Engineering: 2016 International Conference on Robotics and Machine Vision, ICRMV 2016; Moscow; Russian Federation; 14 September 2016 through 16 September 2016. editor / Alexander V Bernstein ; Adrian Olaru ; Jianhong Zhou. Vol. 10253 Bellingham WA USA : SPIE, 2017. (Proceedings of SPIE).

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keywords = "attitude's velocities estimation, field of image velocities, Lucas-Kanade algorithm, Optical ow",

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booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

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Popov, TA, Miller, A, Miller, B & Stepanyan, K 2017, Estimation of velocities via optical flow. in AV Bernstein, A Olaru & J Zhou (eds), Proceedings of SPIE - The International Society for Optical Engineering: 2016 International Conference on Robotics and Machine Vision, ICRMV 2016; Moscow; Russian Federation; 14 September 2016 through 16 September 2016. vol. 10253, 1025303, Proceedings of SPIE, vol. 10253, SPIE, Bellingham WA USA, International Conference on Robotics and Machine Vision, 2016, Moscow, Russian Federation, 14/09/16. https://doi.org/10.1117/12.2266365

Estimation of velocities via optical flow. / Popov, T A; Miller, A.; Miller, B. et al.

Proceedings of SPIE - The International Society for Optical Engineering: 2016 International Conference on Robotics and Machine Vision, ICRMV 2016; Moscow; Russian Federation; 14 September 2016 through 16 September 2016. ed. / Alexander V Bernstein; Adrian Olaru; Jianhong Zhou. Vol. 10253 Bellingham WA USA : SPIE, 2017. 1025303 (Proceedings of SPIE; Vol. 10253).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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N2 - This article presents an approach to the optical flow (OF) usage as a general navigation means providing the information about the linear and angular vehicle's velocities. The term of "OF" came from opto-electronic devices where it corresponds to a video sequence of images related to the camera motion either over static surfaces or set of objects. Even if the positions of these objects are unknown in advance, one can estimate the camera motion provided just by video sequence itself and some metric information, such as distance between the objects or the range to the surface. This approach is applicable to any passive observation system which is able to produce a sequence of images, such as radio locator or sonar. Here the UAV application of the OF is considered since it is historically.

AB - This article presents an approach to the optical flow (OF) usage as a general navigation means providing the information about the linear and angular vehicle's velocities. The term of "OF" came from opto-electronic devices where it corresponds to a video sequence of images related to the camera motion either over static surfaces or set of objects. Even if the positions of these objects are unknown in advance, one can estimate the camera motion provided just by video sequence itself and some metric information, such as distance between the objects or the range to the surface. This approach is applicable to any passive observation system which is able to produce a sequence of images, such as radio locator or sonar. Here the UAV application of the OF is considered since it is historically.

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Popov TA, Miller A, Miller B, Stepanyan K. Estimation of velocities via optical flow. In Bernstein AV, Olaru A, Zhou J, editors, Proceedings of SPIE - The International Society for Optical Engineering: 2016 International Conference on Robotics and Machine Vision, ICRMV 2016; Moscow; Russian Federation; 14 September 2016 through 16 September 2016. Vol. 10253. Bellingham WA USA: SPIE. 2017. 1025303. (Proceedings of SPIE). https://doi.org/10.1117/12.2266365

Estimation of velocities via optical flow

Abstract

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Conference

Keywords

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