Administrative InfoLecture by Dr. Slobodan Ilic?Exercises by: Stefan Hinterstoisser, Stefan Holzer, Jürgen Sotke
Type: Lecture Module IN2210
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Time, Location & Requirements
Tuesday 14:30 - 16:00 MI 03.13.010
Exercises: Wednesday 13:30 - 15:00 MI 03.13.008
Consulting hours: Requirements:
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Site Content
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Announcements
Repetition exam : Thursday , 14.04.2011, 10:00-12:00h, Room: 03.13.040(seminar room where lectures took place).(BRING YOUR SCIENTIFIC CALCULATORS!!!). For the repetition exam we allow using of A4 paper filled by hand with the material from the course.
Final results
Within the scope of the Computer Vision 2 lecture Martin Groher and Hauke Heibel will give an introduction to MATLAB on Thursday, 28th from 13:00 till 14:30 in room MI 03.13.010.
Access to the computerroomEvery student needs to have access to the computer in the computer room (03.13.008) before the exercises start! If you do not have access yet please sent us an email (send it to hinterst at in.tum.de ) in the following format: username (of the rechnerhalle),name,family_name,tum_email_address (that is the ...@in.tum.de email address - NO MYTUM addresses!)
RegistrationYou need to register via TUMOnline!
HomeworksDepending on the complexity of the homework projects, students will from one to several weeks to solve the problems. Solutions will be checked in the following exercise session. Exact dates for every homework project will be announced on the website and said at the exercises.
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Computer Vision, as a relatively young research area, has emerged as a key discipline in computer science.
This is not only evident by a growing high competitive research community with the high impact
factor in computer science, but also by the emerging of numerous Vision companies turning the research
ideas into the numerous commercial applications. Besides well know studies of the 3D geometry and
camera models, object tracking and detection in the images and videos become one of the principal research
directions of the modern Computer Vision. The main objective of this course is to provide students
with gradual introduction to the modern tracking, detection and recognition techniques developed
in last 5 years. The course will provide in depth knowledge of image features, their detection and description,
matching techniques, key-point recognition, basic and advanced tracking algorithms based on image
features and image intensities, basics of structure from motion and bundle adjustment, synchronous
localization and mapping algorithm, object detection and pose estimation using classification approaches
and object recognition and image retrieval using bag of words approaches. In the end student will have
thorough description of the most important tracking, detection and recognition techniques. They should
be able to understand and implement those solutions and apply them in the reasonably complex problems.
The concepts described in this course will be accompanied with the brief explanation of the necessary
mathematical tools. The participants of this course will be given the necessary basis to follow vast
and growing Computer Vision literature and use the acquired knowledge to solve new practical problems.
Lectures start on 19.10.2009 at 14:30 at MI 03.13.010.
Exercises start on 27.10.2009 at 13:30 at MI 03.13.008. Here you can find a MATLAB tutorial.
TeachingForm | |
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Title: | Tracking and Detection in Computer Vision |
Professor: | Slobodan Ilic |
Tutors: | |
Type: | Lecture |
Information: | 2+2 SWS, 5 ECTS, Wahlfach im Masterstudiengang Informatik, Wahlfach im Masterstudiengang Biomedical Computing, Wahlfach im Masterstudiengang Robotics, Cognition, Intelligence |
Term: | 2010WiSe |
Abstract: |