700.340 (16S) Machine Vision in Intelligent Transportation
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 announcedTopics
- 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 announcedTopics
- 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 + ReportGrading scheme
Grade / Grade grading schemePosition 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)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Subject: Information and Communications Engineering: Supplements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (Anhang 5) (
0.0h VK, VO, KU / 12.0 ECTS)
-
Subject: Technical Complements (NC, ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (siehe Anhang 3) (
0.0h VK, VO / 30.0 ECTS)
-
Subject: Autonomous Systems and Robotics: Advanced (ASR)
(Compulsory elective)
- 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)
-
Wahl aus dem LV-Katalog (siehe Anhang 3) (
0.0h VK, VO / 30.0 ECTS)
-
Subject: Autonomous Systems and Robotics (WI)
(Compulsory elective)
- 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)
-
Free Electives (
0.0h XX / 6.0 ECTS)
-
Subject: Free Electives
(Optional subject)
- 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)
-
1.1-1.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
-
Subject: Major Field of Specialization (Intelligent Transportation Systems)
(Compulsory subject)
- 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)
-
1.1-1.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
-
Subject: Major Field of Specialization (Media Engineering)
(Compulsory subject)
- 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)
-
2.1-2.2 Lecture with Exercises or Lecture with Seminar (
4.0h VK/VS / 8.0 ECTS)
-
Subject: Additional Technical Module I
(Compulsory subject)
- 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)
-
2.3 Lecture with Exercises or Seminar (
2.0h VK/SE / 4.0 ECTS)
-
Subject: Additional Technical Module I
(Compulsory subject)
- 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)
-
3.1-3.3 Lecture with Exercises or Lecture with Seminar (
6.0h VK/VS / 12.0 ECTS)
-
Subject: Additional Technical Module II
(Compulsory subject)
- 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)
-
4.2'-4.3' Theoretical methodological courses I/II (
0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
-
Subject: Research Track (Methodological focus)
(Compulsory subject)
- 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)
-
Diverse Lehrveranstaltungen (
0.0h VO/VK/VS/KU/PS / 12.0 ECTS)
-
Subject: Electives
(Optional subject)
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)