Henrik Kjus Alstad

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—High resolution, wide field of view video generated from multiple camera feeds has many use cases. However, processing the different steps of a panorama video pipeline in real-time is challenging due to the high data rates and the stringent requirements of timeliness. We use panorama video in a sport analysis system where video events must be generated in(More)
The importance of winning has increased the role of performance analysis in the sports industry, and this underscores how statistics and technology keep changing the way sports are played. Thus, this is a growing area of interest, both from a computer system view in managing the technical challenges and from a sport performance view in aiding the(More)
We show in this poster that we have been able to create a panoramic stitcher pipeline for generating a video stream in real­time by use of NVIDIA GPUs. We can now continue focusing on the next steps of the system, knowing that the performance of the system is adequate for now. Future works include adding a color correction module to the pipeline, as well as(More)
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