3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

13 Citations (Scopus)

Abstract

The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis. While the techniques used were basic, the results turned out to be encouraging, and several improvements are under scrutiny.
Original languageEnglish
Title of host publicationImage Analysis
Subtitle of host publication14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings
PublisherSpringer
Pages141-150
ISBN (Electronic)978-3-540-31566-7
ISBN (Print)978-3-540-26320-3
DOIs
Publication statusPublished - 2005
MoE publication typeNot Eligible
Event14th Scandinavian Conference on Image Analysis, SCIA 2005 - Joensuu, Finland
Duration: 19 Jun 200522 Jun 2005

Publication series

SeriesLecture Notes in Computer Science
Volume3540

Conference

Conference14th Scandinavian Conference on Image Analysis, SCIA 2005
CountryFinland
CityJoensuu
Period19/06/0522/06/05

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Helicopters
Stabilization
Monitoring
Antennas

Cite this

Molinier, M., Ahola, H., & Häme, T. (2005). 3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter. In Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings (pp. 141-150). Springer. Lecture Notes in Computer Science, Vol.. 3540 https://doi.org/10.1007/11499145_16
Molinier, Matthieu ; Ahola, Heikki ; Häme, Tuomas. / 3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter. Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings. Springer, 2005. pp. 141-150 (Lecture Notes in Computer Science, Vol. 3540).
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abstract = "The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis. While the techniques used were basic, the results turned out to be encouraging, and several improvements are under scrutiny.",
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Molinier, M, Ahola, H & Häme, T 2005, 3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter. in Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings. Springer, Lecture Notes in Computer Science, vol. 3540, pp. 141-150, 14th Scandinavian Conference on Image Analysis, SCIA 2005, Joensuu, Finland, 19/06/05. https://doi.org/10.1007/11499145_16

3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter. / Molinier, Matthieu; Ahola, Heikki; Häme, Tuomas.

Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings. Springer, 2005. p. 141-150 (Lecture Notes in Computer Science, Vol. 3540).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis. While the techniques used were basic, the results turned out to be encouraging, and several improvements are under scrutiny.

AB - The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis. While the techniques used were basic, the results turned out to be encouraging, and several improvements are under scrutiny.

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Molinier M, Ahola H, Häme T. 3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter. In Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005. Proceedings. Springer. 2005. p. 141-150. (Lecture Notes in Computer Science, Vol. 3540). https://doi.org/10.1007/11499145_16