News Archive
  • December 2024
  • October 2024
  • September 2024
  • July 2024
  • June 2024
  • May 2024
  • April 2024
  • March 2024
  • February 2024
  • January 2024
  • December 2023
  • November 2023

October 2013

Smart Traffic Analysis for Smart Cities

Researchers from the Augmented Vision group at DFKI have developed a novel approach for automatic video-based traffic analysis.
First, entry and exit zones of complex crossroads or roundabouts are defined interactively.Then, each car is tracked individually by computing the trajectory based solely on the video content.
This provides unique data for traffic analysis and in particularfor supporting simulations for improved traffic solutions.

Feel free to check out the demonstration videos on our YouTube channel: Traffic Analysis

Paper on photo-realistic scanning at the Digital Heritage Conference 2013

In this paper we present a one-button photo-realistic scanning system which provides a realistic 3D (usable!) representation of a given object. The paper will be presented at the Digital Heritage Conference from the 28th October – 1st November 2013 in Marseille, France. Feel free to check out the demonstration videos on our YouTube channel:

Augmented Vision Group wins Google Research Award 2013 for 3D scanning technologies!

We are very proud to announce that we have won the Google Research Award for our research in 3D scanning, object reconstruction and appearance modelling. With this award Google supports cutting-edge research in Computer Science and Engineering with the aim of identifying and supporting world-class, full-time research of mutual interests. The award was granted to the Augmented Vision group for their outstanding work in new methods to fast and systematic 3D modelling and rendering of object appearance.For more information on the OrCaM-system, please visit our project page under http://av.dfki.de/orcam or check out our videos on YouTube:

Paper on reliable object tracking and data fusion in video sequences at CVMP 2013

In this paper we present a novel approach for a user supported tracking framework which combines automatic tracking and minimal user input for error free tracking results suitable for interactive video production. We present our results on the CVMP, the 10th European Conference on Visual Media Production on the 6-7th November 2013 in London. You can download the paper here or browse our list of publications.