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Computer Vision in Road Safety and Intelligent Traffic

  1. Video visualization (VV) is considered to be an essential part of multimedia visual analytics. Many challenges have arisen from the enormous video content of cameras which can be solved with the help of data a...

    Authors: Fozia Mehboob, Muhammad Abbas, Saad Rehman, Shoab A. Khan, Richard Jiang and Ahmed Bouridane
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:28
  2. Detection of driver aggressiveness is a significant method in terms of safe driving. Every year, a vast number of traffic accidents occur due to aggressive driving behaviour. These traffic accidents cause fata...

    Authors: Omurcan Kumtepe, Gozde Bozdagi Akar and Enes Yuncu
    Citation: EURASIP Journal on Image and Video Processing 2016 2016:5
  3. A great interest is focused on driver assistance systems using the head pose as an indicator of the visual focus of attention and the mental state. In fact, the head pose estimation is a technique allowing to ...

    Authors: Nawal Alioua, Aouatif Amine, Alexandrina Rogozan, Abdelaziz Bensrhair and Mohammed Rziza
    Citation: EURASIP Journal on Image and Video Processing 2016 2016:2
  4. In this paper, we propose a cascade classifier for high-performance on-road vehicle detection. The proposed system deliberately selects constituent weak classifiers that are expected to show good performance i...

    Authors: Hanmin Cho and Sun-Young Hwang
    Citation: EURASIP Journal on Image and Video Processing 2015 2015:16
  5. Many emerging applications in the field of assisted and autonomous driving rely on accurate position information. Satellite-based positioning is not always sufficiently reliable and accurate for these tasks. V...

    Authors: David Van Hamme, Werner Goeman, Peter Veelaert and Wilfried Philips
    Citation: EURASIP Journal on Image and Video Processing 2015 2015:10