A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera

Samunda Perera; Nick Barnes

doi:10.1109/DICTA.2011.89

A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera

Samunda Perera^*, Nick Barnes

^*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

Motion segmentation with a moving camera has many applications in computer vision. This paper presents a novel method for rigid motion segmentation using a RGB-D camera. The method estimates the lengths of edges in a Delaunay graph of the feature points and observes any variation of these lengths. Non-rigid edges in the graph are identified and pruned. The resulting graph is then examined for connected components to find different motion groups. We present results which show that the approach is able to correctly identify the number of motions and their memberships on real sequences taken from a moving RGB-D camera. The method is fast and suitable for real time applications.

Original language	English
Title of host publication	Proceedings - 2011 International Conference on Digital Image Computing
Subtitle of host publication	Techniques and Applications, DICTA 2011
Pages	494-500
Number of pages	7
DOIs	https://doi.org/10.1109/DICTA.2011.89
Publication status	Published - 2011
Event	2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 - Noosa, QLD, Australia Duration: 6 Dec 2011 → 8 Dec 2011

Publication series

Name	Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011

Conference

Conference	2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
Country/Territory	Australia
City	Noosa, QLD
Period	6/12/11 → 8/12/11

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10.1109/DICTA.2011.89

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Perera, S., & Barnes, N. (2011). A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera. In Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 (pp. 494-500). Article 6128709 (Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011). https://doi.org/10.1109/DICTA.2011.89

Perera, Samunda ; Barnes, Nick. / A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera. Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011. 2011. pp. 494-500 (Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011).

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title = "A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera",

abstract = "Motion segmentation with a moving camera has many applications in computer vision. This paper presents a novel method for rigid motion segmentation using a RGB-D camera. The method estimates the lengths of edges in a Delaunay graph of the feature points and observes any variation of these lengths. Non-rigid edges in the graph are identified and pruned. The resulting graph is then examined for connected components to find different motion groups. We present results which show that the approach is able to correctly identify the number of motions and their memberships on real sequences taken from a moving RGB-D camera. The method is fast and suitable for real time applications.",

keywords = "RGB-D, motion segmentation",

author = "Samunda Perera and Nick Barnes",

year = "2011",

doi = "10.1109/DICTA.2011.89",

language = "English",

isbn = "9780769545882",

series = "Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011",

pages = "494--500",

booktitle = "Proceedings - 2011 International Conference on Digital Image Computing",

note = "2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011 ; Conference date: 06-12-2011 Through 08-12-2011",

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Perera, S & Barnes, N 2011, A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera. in Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011., 6128709, Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011, pp. 494-500, 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011, Noosa, QLD, Australia, 6/12/11. https://doi.org/10.1109/DICTA.2011.89

A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera. / Perera, Samunda; Barnes, Nick.
Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011. 2011. p. 494-500 6128709 (Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011).

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

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AU - Barnes, Nick

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N2 - Motion segmentation with a moving camera has many applications in computer vision. This paper presents a novel method for rigid motion segmentation using a RGB-D camera. The method estimates the lengths of edges in a Delaunay graph of the feature points and observes any variation of these lengths. Non-rigid edges in the graph are identified and pruned. The resulting graph is then examined for connected components to find different motion groups. We present results which show that the approach is able to correctly identify the number of motions and their memberships on real sequences taken from a moving RGB-D camera. The method is fast and suitable for real time applications.

AB - Motion segmentation with a moving camera has many applications in computer vision. This paper presents a novel method for rigid motion segmentation using a RGB-D camera. The method estimates the lengths of edges in a Delaunay graph of the feature points and observes any variation of these lengths. Non-rigid edges in the graph are identified and pruned. The resulting graph is then examined for connected components to find different motion groups. We present results which show that the approach is able to correctly identify the number of motions and their memberships on real sequences taken from a moving RGB-D camera. The method is fast and suitable for real time applications.

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M3 - Conference contribution

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BT - Proceedings - 2011 International Conference on Digital Image Computing

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Perera S, Barnes N. A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera. In Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011. 2011. p. 494-500. 6128709. (Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011). doi: 10.1109/DICTA.2011.89

A simple and practical solution to the rigid body motion segmentation problem using a RGB-D camera

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