700.340 (16S) Machine Vision in Intelligent Transportation

Sommersemester 2016

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First course session
07.03.2016 12:00 - 14:00 L4.1.02 ICT-Lab Off Campus
... no further dates known

Overview

Lecturer
Course title german Machine Vision in Intelligent Transportation
Type Lecture - Seminar (continuous assessment course )
Hours per Week 2.0
ECTS credits 4.0
Registrations 9 (20 max.)
Organisational unit
Language of instruction English
Course begins on 08.03.2016
Seniorstudium Liberale Yes

Time and place

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Course Information

Course content

The seminar has mainly two different parts. Part one covers different advanced topics in machine vision based on different lectures that will be held during the semster. In part two, students will be prepared to be able to choose a paper in the field of machine vision and try to implement it using MATLAB, OPENCV or .net EMGU. The overall structure for part two is: # A list of topics will be suggested and placed in Moodle. # To each topic 1 or 2 basic papers will be suggested, which contains basic related information (will be placed in Moodle) # A student selects a topic (groups of 2 students are allowed) # For each topic, 12 to 15 slides will be prepared by the students. # Dates for Mini seminar presentations: in the last 2 weeks of the semester will be announced

Topics

  • Object Segmentation
  • Object Recognition
  • Object Tracking
  • Face Recognition
  • Image Stitching
  • Video Understanding
  • Event Detection
  • Sensor Fusion

Teaching objective

The class handels advanced topics in Image processing and video understanding.

Course content

The seminar has mainly two different parts. Part one covers different advanced topics in machine vision based on different lectures that will be held during the semster. In part two, students will be prepared to be able to choose a paper in the field of machine vision and try to implement it using MATLAB, OPENCV or .net EMGU. The overall structure for part two is: # A list of topics will be suggested and placed in Moodle. # To each topic 1 or 2 basic papers will be suggested, which contains basic related information (will be placed in Moodle) # A student selects a topic (groups of 2 students are allowed) # For each topic, 12 to 15 slides will be prepared by the students. # Dates for Mini seminar presentations: in the last 2 weeks of the semester will be announced

Topics

  • Object Segmentation
  • Object Recognition
  • Object Tracking
  • Face Recognition
  • Image Stitching
  • Video Understanding
  • Event Detection
  • Sensor Fusion

Teaching objective

The class handels advanced topics in Image processing and video understanding.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Assessment criteria / Standards of assessment for examinations

Presentation + Report

Assessment criteria / Standards of assessment for examinations

Presentation + Report

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Technical Complements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Information and Communications Engineering: Supplements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Technical Complements (NC, ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Autonomous Systems and Robotics: Advanced (ASR) (Compulsory elective)
      • Wahl aus dem LV-Katalog (siehe Anhang 3) ( 0.0h VK, VO / 30.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Autonomous Systems and Robotics (WI) (Compulsory elective)
      • Wahl aus dem LV-Katalog (siehe Anhang 3) ( 0.0h VK, VO / 30.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Subject: Free Electives (Optional subject)
      • Free Electives ( 0.0h XX / 6.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Major Field of Specialization (Intelligent Transportation Systems) (Compulsory subject)
      • 1.1-1.3 Lecture with Exercises or Lecture with Seminar ( 6.0h VK/VS / 12.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Major Field of Specialization (Media Engineering) (Compulsory subject)
      • 1.1-1.3 Lecture with Exercises or Lecture with Seminar ( 6.0h VK/VS / 12.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Additional Technical Module I (Compulsory subject)
      • 2.1-2.2 Lecture with Exercises or Lecture with Seminar ( 4.0h VK/VS / 8.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Additional Technical Module I (Compulsory subject)
      • 2.3 Lecture with Exercises or Seminar ( 2.0h VK/SE / 4.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Additional Technical Module II (Compulsory subject)
      • 3.1-3.3 Lecture with Exercises or Lecture with Seminar ( 6.0h VK/VS / 12.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Research Track (Methodological focus) (Compulsory subject)
      • 4.2'-4.3' Theoretical methodological courses I/II ( 0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Electives (Optional subject)
      • Diverse Lehrveranstaltungen ( 0.0h VO/VK/VS/KU/PS / 12.0 ECTS)
        • 700.340 Machine Vision in Intelligent Transportation (2.0h VS / 4.0 ECTS)

Equivalent courses for counting the examination attempts

Sommersemester 2024
  • 700.340 VS Neurocomputing in Robotics and Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2023
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2022
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2021
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2020
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2019
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2018
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2017
  • 700.340 VS Machine Learning in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2015
  • 700.340 VS Machine Vision in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2014
  • 700.340 VS Machine Vision in Intelligent Transportation (2.0h / 4.0ECTS)
Sommersemester 2013
  • 700.340 VS Machine Vision in Intelligent Transportation (2.0h / 4.0ECTS)