Technische Universität München Robotics and Embedded Systems

Real-time Visual Tracking Techniques

Veranstalter Giorgio Panin, Ph.D., Dipl.-Ing. Claus Lenz, Thorsten Röder M.Sc.
Modul IN8901
Typ Hauptseminar
Semester SS 2009
ECTS 4.0
Vorbesprechung Do 12.02.2009 um 11:00 Uhr im Seminarraum MI 03.07.023
Zeit & Ort Mittwochs, 15:00-16:30 Uhr MI 03.07.023
Schein erfolgreiche Teilnahme am Seminar (Vortrag, schriftliche Ausarbeitung, aktive Teilnahme)



Datum Titel Vortragender Betreuer Material
15.04.2009 3D tracking techniques using depth information (available) Claus Lenz 1 2
15.04.2009 Fast keypoints tracking: the Shi-Tomasi approach (available) Thorsten Röder 1 2 3
22.04.2009 Contour tracking based on local color statistics - the CCD Algorithm (available) Giorgio Panin 1 2 3
29.04.2009 Template-based tracking : the EigenTracking technique (available) Claus Lenz 1 2
29.04.2009 Particle filters for color- and contour-based tracking Daniel Eberts Claus Lenz 1 2
06.05.2009 The Mean-shift algorithm for color segmentation and object tracking Abdallah Saffidine Thorsten Röder 1 2
06.05.2009 Template-based tracking: Active Appearance Models Gel Han Giorgio Panin 1 2 3 4
13.05.2009 Contour tracking based on intensity edges Peter Pedron Thorsten Röder 1 2
13.05.2009 Object detection and pose estimation with scale-invariant keypoints Sebastian Marsch Giorgio Panin 1 2 3


Vorbesprechung.pdf: Vorbesprechung folien

Latex Vorlage

Latex Template


Beschreibung (Englisch)

From Wikipedia: definition of Visual Tracking

Visual tracking is the process of locating a moving object (or several ones) in time using a camera. An algorithm analyzes the video frames and outputs the location, optionally in real time. A visual tracking algorithm is based on a motion model which describes how the image of the target changes depending on a vector of motion parameters. When the target is a rigid 3D object, the motion model defines its aspect depending on its 3D position and orientation. The role of the tracking algorithm is to analyse the video frames in order to estimate the motion parameters. These parameters characterize the location of the target.

Applications of real-time 3D tracking cover many fields of interest, for which commercial products are increasingly becoming available. Today there are several known approaches for this task, and we consider here some advanced techniques, by organizing them into

Lecture Slides from our WS08/09 Course "Model-Based Visual Tracking" provide also useful material for this Seminar. They are available at

Model-Based Visual Tracking.