Search for dissertations about: "traffic sign recognition"

Found 3 swedish dissertations containing the words traffic sign recognition.

  1. 1. Traffic and Road Sign Recognition

    University dissertation from Edinburgh

    Author : Hasan Fleyeh; Högskolan Dalarna.; [2008]
    Keywords : Traffic signs; color segmentation; recognition;

    Abstract : This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. READ MORE

  2. 2. Salient Region Detection Methods with Application to Traffic Sign Recognition from Street View Images

    University dissertation from ; Chalmers tekniska högskola; Gothenburg

    Author : Keren Fu; [2016]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; normalized cut; traffic sign recognition; saliency propagation; color distribution; continuous conditional random field; manifold; Salient region detection; adaptive graph edge weights; color contrast; geodesics;

    Abstract : In the computer vision community, saliency detection refers to modeling the selective mechanism in human visual attentions. Outputs of saliency detection algorithms are called saliency maps, which represent conspicuousness levels of different scene areas. READ MORE

  3. 3. Shape Based Recognition – Cognitive Vision Systems in Traffic Safety Applications

    University dissertation from Linköping : Linköping University Electronic Press

    Author : Fredrik Larsson; Linköpings universitet.; Linköpings universitet.; [2011]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Traffic accidents are globally the number one cause of death for people 15-29 years old and is among the top three causes for all age groups 5-44 years. Much of the work within this thesis has been carried out in projects aiming for (cognitive) driver assistance systems and hopefully represents a step towards improving traffic safety. READ MORE