Tracking and Detection in Computer Vision (IN2210)
Course 0000002026 in WS 2017/8
General Data
Course Type | Lecture w/ Exercise |
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Semester Weekly Hours | 6 SWS |
Organisational Unit | Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab) |
Lecturers |
Slobodan Ilic |
Dates |
Mon, 14:00–16:00, MI 00.13.009A Thu, 14:00–16:00, MI 00.13.009A and 2 singular or moved dates |
Assignment to Modules
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IN2210: Tracking and Detection in Computer Vision / Tracking and Detection in Computer Vision
This module is included in the following catalogs:- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
additional remarks | 1. Einführung zu tracking, detection und recognition in der Computer Vision 2. Grundlegende Konzepte 2.1 Gradienten. Gausscher Weichzeichner. Faltung. Kanten. 2.2 Kameramodelle und Parametrisierung von Kamerabewegungen 3. Image features und flows 3.1 Feature detection: corners, edges, regions detectors(Harris-Affine&Hessian Affine, MSER, IBR & EBR, Silent regions) 3.2 Feature descriptors: SIFT, SURF 3.3 Lucas-Kanade optical flow und Lucas- Kandade. 4. Matching 4.1 Descriptor based matching 4.2 Key-point recognition(Randomized trees und Ferns) 4.3 Template matching (Lucas-Kanade template matching, Jurie-Dhome algorithm, ESM) 4.4 Matching und pose estimation (Leopard, Panther and Gepard) 5. Tracking 5.1 Camera/object tracking techniques. (Feature based. Model based) 5.2 KLT tracker 5.3 Kalman filters und Erweiterungen 5.4 Particle filters und Condensation algorithm 6. Detection 6.1 Haar features und integral images 6.2 Ada-Boost Algorithmus zur Klassifizierung 6.3 Viola-Jones face detection 7. Object recognition 7.1 Bag of words object description 7.2 Video Google 7.3 Vocabulary trees |
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Links |
Course documents TUMonline entry |
Equivalent Courses (e. g. in other semesters)
Semester | Title | Lecturers | Dates |
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WS 2019/20 | Tracking and Detection in Computer Vision (IN2210) | Bui, L. Ilic, S. |
Mon, 14:00–16:00, MI 00.13.009A Thu, 14:00–16:00, MI 01.05.012 Thu, 14:00–16:00, MI 03.11.018 Thu, 14:00–16:00, MI 03.09.012 Thu, 14:00–16:00, MI 00.13.009A and singular or moved dates |
WS 2018/9 | Tracking and Detection in Computer Vision (IN2210) | Bui, L. Ilic, S. |
Mon, 14:00–16:00, MI 00.13.009A Thu, 14:00–16:00, MI 00.13.009A and singular or moved dates |
WS 2016/7 | Tracking and Detection in Computer Vision (IN2210) | Ilic, S. |
Thu, 12:00–14:00, MI 00.13.009A Mon, 12:00–13:45, MI 00.13.009A |