Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction
The Bagadus system has been introduced as an automated soccer analysis tool, and consists of an analysis subsystem, tracking subsystem and video subsystem. By automating the integration of these subsystems, Bagadus allows for simplified soccer analysis, with the goal of improving athletes' perf...
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ftoslouniv:oai:www.duo.uio.no:10852/37677 2023-05-15T18:34:42+02:00 Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction Tennøe, Marius Pål Halvorsen, Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Carsten Griwodz 2013 http://hdl.handle.net/10852/37677 http://urn.nb.no/URN:NBN:no-39677 eng eng http://urn.nb.no/URN:NBN:no-39677 Tennøe, Marius. Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction. Masteroppgave, University of Oslo, 2013 http://hdl.handle.net/10852/37677 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Tennøe, Marius&rft.title=Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction&rft.inst=University of Oslo&rft.date=2013&rft.degree=Masteroppgave URN:NBN:no-39677 179201 Fulltext https://www.duo.uio.no/bitstream/handle/10852/37677/3/tennoe.pdf VDP::420 Master thesis Masteroppgave 2013 ftoslouniv 2020-06-21T08:47:07Z The Bagadus system has been introduced as an automated soccer analysis tool, and consists of an analysis subsystem, tracking subsystem and video subsystem. By automating the integration of these subsystems, Bagadus allows for simplified soccer analysis, with the goal of improving athletes' performance. The system is currently installed at Alfheim stadium in Tromsø, Norway. A part of the video subsystem is the generation of panorama videos from four HD cameras. However, the pipeline for panorama video generation in the first version of the system did not manage to do this online and in real-time. In this thesis, we present how to build an improved panorama stitcher pipeline that is able to stitch video from four HD cameras into a panorama video online and in real-time. We describe in detail the architecture and modules of this pipeline, and analyze the performance, where we demonstrate real-time, live capture, processing and storage of four individual camera feeds and generation of a panorama video on a single machine. In addition, we focus on how background subtraction can be used to improve the pipeline. As part of this, we discuss how we can utilize player position data to improve the background subtraction process, and also discuss in detail how to optimize the background subtraction process on CPU and GPU. Master Thesis Tromsø Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Alfheim ENVELOPE(12.454,12.454,65.773,65.773) Norway Tromsø |
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Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
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ftoslouniv |
language |
English |
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VDP::420 Tennøe, Marius Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
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VDP::420 |
description |
The Bagadus system has been introduced as an automated soccer analysis tool, and consists of an analysis subsystem, tracking subsystem and video subsystem. By automating the integration of these subsystems, Bagadus allows for simplified soccer analysis, with the goal of improving athletes' performance. The system is currently installed at Alfheim stadium in Tromsø, Norway. A part of the video subsystem is the generation of panorama videos from four HD cameras. However, the pipeline for panorama video generation in the first version of the system did not manage to do this online and in real-time. In this thesis, we present how to build an improved panorama stitcher pipeline that is able to stitch video from four HD cameras into a panorama video online and in real-time. We describe in detail the architecture and modules of this pipeline, and analyze the performance, where we demonstrate real-time, live capture, processing and storage of four individual camera feeds and generation of a panorama video on a single machine. In addition, we focus on how background subtraction can be used to improve the pipeline. As part of this, we discuss how we can utilize player position data to improve the background subtraction process, and also discuss in detail how to optimize the background subtraction process on CPU and GPU. |
author2 |
Pål Halvorsen, Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Carsten Griwodz |
format |
Master Thesis |
author |
Tennøe, Marius |
author_facet |
Tennøe, Marius |
author_sort |
Tennøe, Marius |
title |
Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
title_short |
Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
title_full |
Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
title_fullStr |
Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
title_full_unstemmed |
Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
title_sort |
efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction |
publishDate |
2013 |
url |
http://hdl.handle.net/10852/37677 http://urn.nb.no/URN:NBN:no-39677 |
long_lat |
ENVELOPE(12.454,12.454,65.773,65.773) |
geographic |
Alfheim Norway Tromsø |
geographic_facet |
Alfheim Norway Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_relation |
http://urn.nb.no/URN:NBN:no-39677 Tennøe, Marius. Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction. Masteroppgave, University of Oslo, 2013 http://hdl.handle.net/10852/37677 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Tennøe, Marius&rft.title=Efficient implementation and processing of a real-time panorama video pipeline with emphasis on background subtraction&rft.inst=University of Oslo&rft.date=2013&rft.degree=Masteroppgave URN:NBN:no-39677 179201 Fulltext https://www.duo.uio.no/bitstream/handle/10852/37677/3/tennoe.pdf |
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1766219583748833280 |