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Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

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A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter (bibtex)
A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter (bibtex)
by M. Schikora, W. Koch, R. L. Streit and D. Cremers
Reference:
A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter (M. Schikora, W. Koch, R. L. Streit and D. Cremers), Chapter in Advances in Intelligent Signal Processing and Data Mining, Springer-Verlag Berlin Heidelberg, 2012. 
Bibtex Entry:
@incollection{SKSC-book-2012,
 author = {M. Schikora and W. Koch and R. L. Streit and D. Cremers},
 title = { A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter},
 booktitle = { Advances in Intelligent Signal Processing and Data Mining},
 publisher = {Springer-Verlag Berlin Heidelberg},
 pages = {55-87},
 year = {2012},
 titleurl = {2012_SKSC_book.pdf},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

07.05.2020

We are organizing a workshop on Map-based Localization for Autonomous Driving at ECCV 2020, Glasgow, UK.

13.04.2020

Daniel Cremers received an ERC Advanced Grant (3.5 Mio Euro) for pioneering frontier research from the European Research Council. This constitutes his fifth ERC grant.

More